Author name: farmonaut

Explore the power of NDWI (Normalized Difference Water Index) using Sentinel-2 satellite imagery for precise water body mapping and monitoring. Learn how to calculate NDWI Sentinel-2 indices, interpret results, and apply this valuable tool in agriculture, environmental management, and disaster response. Discover Farmonaut’s innovative solutions for leveraging NDWI Sentinel-2 data in precision farming.

Discover the power of NDVI in agriculture. Learn what NDVI is, how it measures plant health, and why it’s crucial for crop monitoring. Explore Farmonaut’s innovative satellite-based NDVI technology to optimize your farming practices, increase yields, and make data-driven decisions for sustainable agriculture.

Discover the power of NDWI for water detection in remote sensing. Learn optimal NDWI ranges and thresholds for accurate water body identification. Explore how Farmonaut’s advanced satellite technology utilizes NDWI to enhance precision agriculture, water resource management, and environmental monitoring. Unlock the potential of NDWI water analysis for your projects.

Explore the contrasting wheat landscapes of MP Sehore and Texas. Discover how Farmonaut’s advanced satellite technology revolutionizes crop monitoring in Sehore’s wheat fields and vast Texas prairies. Learn about yield optimization, pest management, and sustainable farming practices tailored for these diverse regions, enhancing productivity and farmer success.

Discover the power of NDVI imagery in agriculture. Learn what NDVI imagery is, how it revolutionizes crop monitoring, and why it’s essential for precision farming. Explore Farmonaut’s cutting-edge NDVI technology to optimize yields, detect plant stress, and make data-driven decisions for sustainable agriculture practices.

Explore India’s agricultural landscape in 2023 through an in-depth analysis of cropping intensity. Discover regional variations, factors influencing multiple cropping, and the impact on food security. Learn how satellite technology and GIS tools are revolutionizing crop monitoring, helping farmers optimize yields and adapt to changing climatic conditions across India.

Explore the power of normalized difference indices in agriculture and remote sensing. Discover how NDBI, NDCI, NDDI, NDMI, and NDSI revolutionize crop monitoring, urban planning, and environmental assessment. Learn to leverage these advanced tools for precise analysis of vegetation health, soil moisture, and land use changes with Farmonaut’s cutting-edge satellite technology.

Explore the power of vegetation indices in precision agriculture. Discover the key differences between NDVI and NDWI, two essential tools for crop health monitoring and water stress detection. Learn how Farmonaut leverages these indices to revolutionize farming practices and optimize resource management for sustainable agriculture.

Explore comprehensive land classification techniques in our expert guide. From landscape and land use to LULC and terrain classification, we cover essential levels and methods. Discover how Farmonaut’s advanced remote sensing technology revolutionizes agricultural planning and management through precise land classification systems. Optimize your farming strategies with data-driven insights.

Discover the power of NDVI in precision agriculture with Farmonaut’s comprehensive guide. Learn the essential NDVI formula, its applications in crop health monitoring, and how to interpret results. Unlock the potential of satellite-based vegetation analysis to optimize your farming practices and boost yields.

Discover the power of infrared and near-infrared imagery in agriculture. Learn what infrared imagery is and how infrared satellite imagery revolutionizes crop monitoring. Explore Farmonaut’s cutting-edge technology that harnesses these advanced imaging techniques to optimize farm management, increase yields, and promote sustainable farming practices.

NDVI (Normalized Difference Vegetation Index) is a crucial tool in agriculture. This blog explores NDVI’s full form, its significance in farming, and provides Marathi translations for key terms. Learn how NDVI helps farmers monitor crop health, optimize irrigation, and increase yields. Discover the power of satellite-based vegetation analysis in modern agriculture.

Explore the power of Red Edge indices in precision agriculture. Discover how the Normalized Difference Red Edge Index and Red Edge Chlorophyll Index revolutionize crop health monitoring. Learn what Red Edge is and how it enhances vegetation analysis. Farmonaut’s cutting-edge technology leverages these indices for optimal farm management and increased yields.

Discover real-time India satellite weather reports with Farmonaut’s cutting-edge technology. Access live weather satellite imagery for Rajkot and across India today. Our comprehensive platform provides up-to-the-minute weather data and satellite images, empowering farmers and agricultural professionals with crucial information for informed decision-making and improved crop management.

Discover how satellite weather technology revolutionizes agriculture in Bangalore. Learn to leverage Farmonaut’s cutting-edge satellite data for precise weather forecasting, crop monitoring, and yield optimization. Explore the benefits of satellite-based weather insights for farmers in Bangalore, enhancing decision-making and maximizing productivity in this tech-savvy agricultural hub.

Explore the NDWI (Normalized Difference Water Index) value range and its significance in remote sensing for water body detection and vegetation moisture analysis. Learn how NDWI ranges from -1 to +1, with positive values indicating water and negative values representing land features. Discover practical applications in agriculture, hydrology, and environmental monitoring.

Unlock the power of NDVI in agriculture with Farmonaut’s comprehensive guide. Learn how to interpret NDVI index values and understand what NDVI values mean for crop health. Discover practical applications of NDVI in precision farming and maximize your yields using Farmonaut’s cutting-edge satellite-based crop monitoring technology.

Explore large-scale applications of machine learning in remote sensing for innovative agricultural solutions. Discover how advanced sensing techniques address complex farming challenges. Learn about NDWI (Normalized Difference Water Index) and its crucial role in monitoring water content, enhancing crop management, and improving overall agricultural productivity through satellite-based remote sensing technology.

Discover the power of water indices in remote sensing with Farmonaut. Learn about the Water Band Index, Water Ratio Index, and their formulas. Explore how these indices revolutionize agriculture and water resource management. Understand what water index is and its crucial role in monitoring Earth’s water bodies from space.

Discover how advanced satellite technology pierces through clouds, revolutionizing agriculture and remote sensing. Explore the capabilities of cloud-penetrating satellites and drone satellites in providing crucial data for farmers and researchers. Learn how Farmonaut harnesses these innovations to deliver precise, real-time insights for improved crop management and yield optimization.

Explore the meaning of NDVI (Normalized Difference Vegetation Index) in agriculture and remote sensing. Understand NDVI values, including negative readings, and their significance for crop health assessment. Learn how Farmonaut utilizes NDVI data to provide actionable insights for farmers, improving crop management and yield optimization.

Discover the essential guide to land classifications from Farmonaut. Explore various types of land classifications, their importance in agriculture, and how remote sensing technology enhances land use planning. Learn how our satellite-based solutions help farmers optimize crop management based on accurate land classification data.

Discover how to classify land effectively using advanced remote sensing techniques. Learn to categorize land into various types based on vegetation, soil, and usage patterns. Explore Farmonaut’s innovative tools for accurate land classification, empowering farmers and researchers to make informed decisions about agricultural practices and land management strategies.

Explore the comprehensive guide to NDVI ranges across various land types. Discover how NDVI values indicate vegetation health, from barren soil to lush crops. Learn to interpret NDVI classes and indices for agricultural land and natural vegetation. Unlock the power of remote sensing for precision farming with Farmonaut’s expert insights.

Discover the power of NDVI in agriculture. Learn what NDVI means, how to interpret NDVI values, and why NDVI mean is crucial for crop health assessment. Explore Farmonaut’s innovative solutions for leveraging NDVI data to optimize farming practices and boost yields. Unlock the potential of precision agriculture with NDVI insights.

NDVI: Unlocking Crop Health Secrets
Discover what NDVI stands for and its crucial role in agriculture. Learn about the specific bands NDVI uses to measure plant health and vigor. Explore how this powerful remote sensing tool helps farmers optimize crop management and boost yields. Farmonaut’s expert guide to NDVI essentials.

Discover the power of NDWI (Normalized Difference Water Index) in precision agriculture. Learn how this vital remote sensing tool helps farmers monitor crop health, detect water stress, and optimize irrigation strategies. Explore Farmonaut’s innovative platform for leveraging NDWI to enhance crop yields and water management efficiency.

Explore the power of NDWI (Normalized Difference Water Index) using Landsat 5 and Landsat 8 imagery for precise water body mapping and monitoring. Learn how these satellite-derived indices revolutionize agriculture, water resource management, and environmental studies. Discover Farmonaut’s cutting-edge solutions for leveraging NDWI data in precision farming and sustainable water management practices.

Explore the crucial role of NDVI in water management and monitoring. Discover how NDVI values for water bodies provide insights into water quality, algal blooms, and aquatic vegetation. Learn to interpret NDVI water values for effective resource management and environmental conservation using Farmonaut’s advanced remote sensing technology.

Discover the power of remote sensing indices for agriculture and water management. Learn how to calculate MNDWI using Sentinel-2 data, apply MSAVI for vegetation analysis, and utilize NDMI for moisture assessment. Enhance your GIS skills with these essential formulas for precision farming and environmental monitoring.

Discover the power of NDMI (Normalized Difference Moisture Index) in precision agriculture. Learn how to interpret NDMI values and their meaning for crop health assessment. Explore Farmonaut’s advanced satellite-based solutions that leverage NDMI to optimize irrigation, detect plant stress, and enhance overall farm management for improved yields and sustainability.

Explore the crucial differences between EVI and NDVI in remote sensing for agriculture. Discover how these vegetation indices provide unique insights into crop health, biomass, and productivity. Learn when to use EVI vs NDVI for optimal satellite-based monitoring and precision farming with Farmonaut’s advanced technology.

Discover the power of NDVI indices in precision agriculture with Farmonaut. Learn how these vegetation indices revolutionize crop monitoring, health assessment, and yield prediction. Explore practical applications of NDVI in various farming scenarios and unlock the potential for data-driven decision-making to optimize your agricultural practices.

Discover the power of NDVI (Normalized Difference Vegetation Index) in agriculture and remote sensing. Learn how this essential formula quantifies plant health, monitors crop growth, and aids in precision farming. Explore NDVI’s applications, interpretation, and benefits for farmers, researchers, and land managers seeking to optimize vegetation management and boost productivity.

Discover how to check land classification in Tamil Nadu efficiently. Our comprehensive guide explores the process of land classification checks, providing valuable insights for farmers and landowners. Learn about Tamil Nadu’s unique land classification system and its impact on agriculture, property management, and development planning.

Kerala’s diverse landscape requires precise land classification for sustainable development. This blog explores the various categories of land in Kerala, including agricultural, forest, and urban areas. We’ll discuss how remote sensing and GIS technologies aid in accurate land classification, benefiting farmers, policymakers, and environmental conservation efforts across the state.

Discover the comprehensive guide to land classification in Tamil Nadu, exploring diverse soil types, agricultural zones, and land use patterns. Learn how Farmonaut’s advanced remote sensing technology aids farmers and policymakers in optimizing land management strategies, boosting crop yields, and promoting sustainable agriculture across Tamil Nadu’s varied landscapes.

Explore West Bengal’s diverse land classification system, crucial for agriculture and development. Discover how satellite imagery and GIS technology revolutionize land mapping, enabling precise categorization of soil types, vegetation, and land use patterns. Learn how Farmonaut’s advanced solutions support efficient land management and sustainable farming practices in the region.

Discover the essential guide to land classification based on uses and utility. Explore diverse uses of land, from agriculture to urban development. Learn how Farmonaut’s cutting-edge satellite technology and AI-driven insights help optimize land utilization for sustainable farming practices and improved resource management across various sectors.

Explore the comprehensive land classification system in the Philippines, from agricultural to forest lands. Discover how this classification impacts farming practices, land use policies, and sustainable development. Learn about the latest GIS and remote sensing technologies used by Farmonaut to enhance land management and agricultural productivity across the archipelago.

Discover how Farmonaut’s advanced satellite technology revolutionizes agriculture by providing real-time cloud cover data. Learn what cloud cover is, its impact on US farming, and how to access up-to-the-minute cloud cover information. Optimize crop management and increase yields with Farmonaut’s cutting-edge cloud cover monitoring solutions for precision agriculture.

Discover the power of soybean crop images for precision agriculture. Learn how satellite-based soybean crop monitoring enhances yield prediction and pest management. Explore Farmonaut’s cutting-edge technology for analyzing soybean crop images, empowering farmers to make data-driven decisions and optimize their soybean production through advanced remote sensing techniques.

Discover the power of NDVI (Normalized Difference Vegetation Index) in agriculture. Learn what NDVI is, how it works, and its applications in crop health monitoring, yield prediction, and precision farming. Explore how Farmonaut utilizes NDVI technology to revolutionize farming practices and boost productivity for growers worldwide.

Explore the power of remote sensing in agriculture with Farmonaut’s comprehensive guide to vegetation indices. Discover how enhanced vegetation analysis, normalized multi-band drought index, and visible atmospherically resistant index revolutionize crop monitoring. Learn to leverage these advanced tools for improved farm management and sustainable agricultural practices.

Discover how Cloud Farms and SAVI Farms revolutionize agriculture through Farmonaut’s cutting-edge satellite technology. Learn how these innovative farming approaches leverage remote sensing and GIS to optimize crop management, increase yields, and promote sustainable practices. Explore the future of precision agriculture with Farmonaut’s advanced solutions for modern farmers.

Discover how Farmonaut empowers farmers to monitor their world with cutting-edge technology. Learn to map and monitor crops quickly using INSAT images for cyclone tracking and rabi crop identification. Explore our comprehensive guide featuring rabi crops images with names, revolutionizing agricultural management and enhancing productivity for modern farmers.

Discover how Farmonaut leverages cutting-edge satellite technology, including Cyclone and RapidEye, to revolutionize agriculture. Learn about our satellite identification app for efficient farmside monitoring and problem-solving. Explore how satellite data empowers farmers to make informed decisions, optimize crop management, and increase yields in the face of environmental challenges.

Explore the fascinating world of cloud formations from space with Farmonaut’s satellite imagery. Discover how satellite maps and views of clouds revolutionize weather forecasting, climate research, and agricultural planning. Learn to interpret cloud patterns and their impact on crop health using cutting-edge remote sensing technology for smarter farming decisions.

Explore satellite imaging techniques with Farmonaut. Discover how water vapor images are created, compare cloudy and clear satellite imagery, and delve into infrared satellite imaging applications. Learn to interpret and analyze various satellite image types for agriculture, weather forecasting, and environmental monitoring. Enhance your remote sensing knowledge with our expert insights.

Explore India’s agricultural landscape through our comprehensive farming blog. Discover detailed crop maps of India and Maharashtra, analyze crop failure patterns, and understand the nation’s farming distribution. Gain valuable insights into India’s agricultural challenges and opportunities using cutting-edge remote sensing technology and expert analysis from Farmonaut.

Explore the fascinating world of cloud coverage satellites and their impact on agriculture. Discover how satellite images of clouds over India and beyond revolutionize weather forecasting and crop management. Learn what cloud satellites are, how they capture stunning cloud images, and their role in monitoring global cloud cover.

Discover the essential guide to land classification, covering farm and land cover types. Learn how to identify and categorize different land uses using remote sensing techniques. Explore Farmonaut’s innovative solutions for accurate land classification, empowering farmers and researchers to make informed decisions about agricultural practices and environmental management.

Discover how satellite images reveal cloud patterns over India, enhancing weather forecasting and agricultural planning. Learn to interpret different cloud types from space, understanding their impact on climate and crop health. Farmonaut’s advanced technology empowers farmers with crucial insights from satellite imagery for informed decision-making.

Explore the power of satellite imagery in agriculture with Farmonaut. Discover how infrared, visible, and water vapor satellite images revolutionize crop monitoring and weather forecasting. Learn to interpret water satellite images for efficient irrigation management. Unlock the potential of advanced remote sensing technology to optimize your farming practices and boost yields.

In 2016, fertilizer consumption for India was 165.8 kilograms per hectare. Fertilizer consumption of India increased from 100.3 kilograms per hectare in 2002 to 165.8 kilograms per hectare in 2016 growing at an average annual rate of 3.81 %.
What is fertilizer consumption?
Fertilizer consumption measures the quantity of plant nutrients used per unit of arable land. Fertilizer products cover nitrogenous, potash, and phosphate fertilizers (including round rock phosphate). Traditional nutrients–animal and plant manures–are not included. The chemical price can vary from 250 rupees to 2000 rupees per kg depending upon the specific chemical being used. So on an average an Indian farmer spends between 41500 to 332000 rupees per year on each hectare of arable land.
Farmonaut identifies those areas of land where the crop growth is not normal. Farmer can apply fertilizers, chemicals, insecticides, pesticides, plant growth regulators etc. only in those areas where the crop growth is not normal. By using remote sensing results provided by Farmonaut, a farmer can save at least 30% on chemical consumption per year.
So for every one hectare of land, farmer can save at least between 12000 (~ $160) and 95000 (~ $1300) rupees per year.#farming #organicfarming #crops #urbanfarming #precisionagriculture #agro #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis#horticulture #research #tech #remotesensing #crophealth #crops

Farmonaut matches the user location with satellite coordinates and shows unhealthy vegetation of the field and water stress condition in red and yellow. Upon identifying these regions of the fields, farmers can simply pay a visit to that part of the field and identify if the problem has already started. If it has not, the farmer can take preventive remedies by applying more fertilizers, plant growth regulators, improving irrigation etc. Farmonaut strives to bring state of the art technologies in the grasp of every farmer, and will continue adding more features in the coming days. ☺️ Happy Farming!! 🌱🌾👩‍🌾 #farming #organicfarming #crops #urbanfarming #fieldscouting #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis

In 2016, fertilizer consumption for India was 165.8 kilograms per hectare. Fertilizer consumption of India increased from 100.3 kilograms per hectare in 2002 to 165.8 kilograms per hectare in 2016 growing at an average annual rate of 3.81 %.
The chemical price can vary from 250 rupees to 2000 rupees per kg depending upon the specific chemical being used. So on an average an Indian farmer spends between 41500 to 332000 rupees per year on each hectare of arable land.
Farmonaut identifies those areas of land where the crop growth is not normal. Farmer can apply fertilizers, chemicals, insecticides, pesticides, plant growth regulators etc. only in
those areas where the crop growth is not normal. By using
remote sensing results provided by Farmonaut, a farmer can save at least 30% on chemical consumption per year.
So for every one hectare of land, farmer can save at least between 12000 (~ $160) and 95000 (~ $1300) rupees per year.

The app is available on Google Play Store. Happy Farming!

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis

PrecisionAg101 Post #2 : These posts are meant to make farmers aware of the basics of precision agriculture and how to interpret various satellite data provided by us.

The field image attached below is of the farmer Gullapalli Sujatha (Viswamatha farms, Andhra Pradesh, one of the pioneers in Natural Farming in India), (Field Area: 26 Hectares). The image displayed on the map is NDWI (Normalized Difference Water Index) captured by the satellite. NDWI images are used to quantify water stress in the vegetation in a field. NDWI index can help us control irrigation, significantly improving agriculture, especially in areas where meeting the need for water is difficult. The colors used to quantify this information is very easy to interpret.

Dark Green/ Green: water stress is good
Yellow: irrigation may need attention
Red: Barren land/ no vegetation

In the posted image, as we can see, the top portion of the field shows pretty good water stress in the vegetation, whereas the remaining field is in the yellowish or red region. This indicates that the farmer needs to pay attention to irrigation in these highlighted regions. To cross-verify these results farmers can simply open GPS on their smartphones and can navigate through the field using this image.

By using satellite data provided by us, farmers can:
1. Reduce Chemical/Fertilizer consumption by applying them only in the locations where crop
health is not good.
2. Reduce Labour costs by directing the labours only in those field areas where crop health is
critical.
3. Reduce irrigation water wastage by applying proper irrigation only in those locations where
plant water stress is low.
4. Increase overall yield.

The system is available for use on android, iOS as well as web.

Happy Farming!
#farming #organicfarming #crops #urbanfarming #ndwi #waterstress #fieldscouting #remotesensing #consultant #agriconsultant #greentech #smartfarming #precisionagriculture #farm #agritech #agriculture #foodsecurity #technology #satellite #vegetation #india #gis #waterstress #advisor #cropyield

Farmonaut’s Satellite Based Crop Health Monitoring System is built to put satellite technology in the hands of each and every farmer in the most economical way. Our objective is to break the cost barrier and help democratize remote sensing in the farming community by providing an on-the-go always ready platform for field monitoring through satellites. In an attempt to further our goal, we have introduced Farmonaut’s Satellite Based Crop Health Monitoring System for web usage as well. The system is also accessible through our android as well as iOS apps.

#webapp #farmer #farming #satellite #vegetation #gis #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #android #ios #web #google #apple #iphone #appstore #playstore #greentech #smartfarming #precisionagriculture #agro #farm #agritech #vegetables #agriculture #foodsecurity #technology

PrecisionAg101 Post #3 : These posts are meant to make farmers aware of the basics of precision agriculture and how to interpret various satellite data provided by us.

The field image attached below is of the farmer Tafuma Fundira (Masvingo, Zimbabwe), (Field Area: 2 Hectares). The image displayed on the map is ETCI (Enhanced True Color Image) on the left and VARI (Visible Atmospherically Resistant Index) image on the right. ETCI stands for Enhanced True Color Image. It is basically a TCI image processed by our own systems to enhance the land features which were not so explicitly visible in the raw TCI Image. VARI stands for Visible Atmospherically Resistant Index. VARI is minimally resistant to atmospheric effects, allowing vegetation to be estimated in a wide variety of environment. Hence, it is ideally recommended to be used for farm level decision making if TCI and ETCI images show visible atmospheric distortion such as mild clouds or haze above the field. The colors used to quantify this information is very easy to interpret.
Dark Green/ Green: Crop is very healthy
Yellow: Crop needs attention
Red: Barren land
In the posted image, as we can see, the ETCI image seems to be distorted due to haze and clouds. In such cases vegetation indices like NDVI will not give correct observations. Thus, VARI is used in such cases. As we can see through the VARI image, a majority of the field is growing pretty well, with some barren regions shown in red. To cross-verify these results farmers can simply open GPS on their smartphones and can navigate through the field using this image.

By using satellite data provided by us, farmers can:
1. Reduce Chemical/Fertilizer consumption by applying them only in the locations where crop health is not good.
2. Reduce Labour costs by directing the labours only in those field areas where crop health is critical.
3. Reduce irrigation water wastage by applying proper irrigation only in those locations where plant water stress is low.
4. Increase overall yield.

The system is available for use on android, iOS as well as web.

Happy Farming!
#farming #organicfarming #crops #urbanfarming #vari #crophealth #fieldscouting #remotesensing

Today, we are releasing Soil Organic Carbon Content Estimation in beta stage with our already offered crop health and vegetation water stress satellite data through our platforms.
Organic matter contributes to nutrient retention and turnover, soil structure, moisture retention, degradation of pollutants, carbon sequestration and soil resilience. Majority of the agricultural fields lose substantial organic matter post-harvest and once the new crop-cycle starts, if the SOC levels have not recovered, the crop yield may not be same for all the parts of the field. Hence, once our data has identified some locations to be having less SOC levels, farmers can get the soil testing done on those regions and add required nutrients to those regions to rejuvenate the soil organic matter levels. This will ultimately lead to better yields.

Update your app now and start using this new feature!
Happy farming!

#soil #soilhealth #soc #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis

While Monitoring the farms, it is essential to observe how different parts of the field have shown growth changes through time to make better on-field decisions. This can be done through Farmonaut’s Web App by comparing two satellite images simultaneously. You can select any two dates of satellite visits and compare results side by side on the map of the Farmonaut web app itself. Try this out if you haven’t yet.
Happy Farming!
#webapp #newfeature #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis #soil #soilhealth #soc

NOW COMPARE FIELD IMAGES SIDE-BY-SIDE

While Monitoring the farms, you may want to observe changes in the field by comparing two images simultaneously. This is very easy to do with Farmonaut’s compare images option. You can select any two dates of satellite visits and compare results side by side on the map of the Farmonaut web app itself.

Happy Farming!
#webapp #newfeature #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis #soil #soilhealth #soc

In 2016, fertilizer consumption for India was 165.8 kilograms per hectare. Fertilizer consumption of India increased from 100.3 kilograms per hectare in 2002 to 165.8 kilograms per hectare in 2016 growing at an average annual rate of 3.81 %.
The chemical price can vary from 250 rupees to 2000 rupees per kg depending upon the specific chemical being used. So on an average an Indian farmer spends between 41500 to 332000 rupees per year on each hectare of arable land.

Farmonaut identifies those areas of land where the crop growth is not normal. Farmer can apply fertilizers, chemicals, insecticides, pesticides, plant growth regulators etc. only in
those areas where the crop growth is not normal. By using
remote sensing results provided by Farmonaut, a farmer can save at least 30% on chemical consumption per year.
So for every one hectare of land, farmer can save at least between 12000 (~ $160) and 95000 (~ $1300) rupees per year.

The app is available on Google Play Store, Apple App Store as well as a Web App on our website. Happy Farming!

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis

Farmonaut matches the user location with satellite coordinates and fetches the latest imagery, and runs a series of image processing algorithms to deliver the best quality results to the farmers. The below image shows unhealthy vegetation in red and yellow. Upon identifying these regions of their fields, they can simply pay a visit to that part of the field and identify if the problem has already started. If it has not, the farmer can take preventive remedies by applying more fertilizers, plant growth regulators etc. If the problem has already started, they can simply explain their problem to Farmonaut’s crop issue identification system and get real-time govt. approved remedies. Apart from this, farmers also receive vegetation water stress and soil organic carbon data as well! Farmonaut strives to bring state of the art technologies in the grasp of every farmer, and will continue adding more features in the coming days. ☺️ Happy Farming!! 🌱🌾👩‍🌾 #farming #farm #harvest #agrotech #agriculture #satellite #crophealth #farmonaut #fruit #vegetables #crops #agro #agritech #precisionagriculture #organicfarming #greentech #technology #tech #foodsecurity #farmersofinstagram #farmerlife #urbanfarmer #urbanfarming #nasa #esa #spacex #remotesensing #gis #earth #earthfromabove

Did you know that through satellites you can monitor and manage crop health and water stress on your farm? Read more about Farmonaut in this latest article. Let us know in the comment box below how you manage crop health and water stress on your farm.

Link in bio.

क्या आप जानते हैं कि उपग्रहों के माध्यम से आप अपने खेत पर फसल के स्वास्थ्य और पानी के तनाव की निगरानी और प्रबंधन कर सकते हैं? इस नवीनतम लेख में फार्मोनॉट के बारे में और पढ़ें। नीचे दिए गए कमेंट बॉक्स में हमें बताएं कि आप अपने खेत में फसल स्वास्थ्य और पानी के तनाव का प्रबंधन कैसे करते हैं।

#techsamvadnews #company #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis

In 2016, fertilizer consumption for India was 165.8 kilograms per hectare. Fertilizer consumption of India increased from 100.3 kilograms per hectare in 2002 to 165.8 kilograms per hectare in 2016 growing at an average annual rate of 3.81 %.
The chemical price can vary from 250 rupees to 2000 rupees per kg depending upon the specific chemical being used. So on an average an Indian farmer spends between 41500 to 332000 rupees per year on each hectare of arable land.

Farmonaut identifies those areas of land where the crop growth is not normal. Farmer can apply fertilizers, chemicals, insecticides, pesticides, plant growth regulators etc. only in
those areas where the crop growth is not normal. By using
remote sensing results provided by Farmonaut, a farmer can save at least 30% on chemical consumption per year.
So for every one hectare of land, farmer can save at least between 12000 (~ $160) and 95000 (~ $1300) rupees per year.

Apart from this, farmers also receive vegetation water stress and soil organic carbon data as well! Farmonaut strives to bring state of the art technologies in the grasp of every farmer, and will continue adding more features in the coming days. ☺️ Happy Farming!!

The app is available on Google Play Store, Apple App Store as well as a Web App on our website. Happy Farming!

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis

New Features For Web App: With the new update, we are introducing:
1. Tooltips: A short pop-up description of all the major features of the platform, which will help users understand the functioning of buttons etc. much more easily.
2. Analysis Scale: An analysis scale for each of the index (NDVI, EVI, NDRE, VARI, NDWI, SOC). This analysis scale helps user categorize their field area into different health zones much more easily.
3. Ability to add Multiple Crops within a polygon which will help us in providing micro crop level analysis on the platform in the coming days.
4. Dedicated Video Tutorials Button on the top bar which lists all the tutorial videos about various features of the Farmonaut Web App.

We will keep introducing new features in the coming days. Stay tuned!

#webapp #newfeature #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis #soil #soilhealth #soc

These are a few fields recently added to our platforms for satellite monitoring by one of the users from Argentina. Both of these fields (96 Ha and 27 Ha) have maize and are currently in the early stage of growth. The displayed images are of EVI index. This is a side-by-side comparison of crop growth during a gap of 10 days captured by the satellites from 4th August, 2020 to 14th August, 2020. The data reveals that crop is growing fine at the majority of the locations and at some locations wherein the EVI index is low, a field visit must be conducted at priority and recropping must be performed if the crop has failed to grow in those locations.

By having this data, farmers can maximize their yield.

The app is available on Google Play Store, Apple App Store as well as a Web App on our website.

Happy Farming!
#argentina #soil #soilhealth #soc #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis

We are taking user experience to the next level. Now farmers can assess meaningful data of 7 different satellite images into a single image and take farm level actions at even faster rates. With this newly developed image type, farmers will get information about:

1. Locations with good crop health and water stress
2. Locations with bad crop health
3. Locations with bad water stress
4. Locations affected by clouds

all these information embedded within a single image. Stay tuned! This new update is releasing soon!

Happy Farming!

#newfeature #soil #soilhealth #soc #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis

With Paddy season about to finish in the coming weeks, the short clip attached below provides an overview of how crop health varied from July (26-July-2020) till August (30-Aug-2020) in one of our extensive farming hubs (Rahua, Bihar). The displayed image is of NDRE (Normalized Difference Red Edge) used to assess crops in the stage of later growth.

The colormap shows majority of the area in good condition and suitable for harvesting in the next few weeks. Once the crop is harvested, we will capture the Soil organic carbon content of the bare land and identify locations where soc content may have gone down. Once these locations are identified, a priority soil testing will be done on those locations.

We will keep everyone posted.

Happy Farming!

#newfeature #soil #soilhealth #soc #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis

Check the feature about Farmonaut in the 3rd edition (September 2020) of the print and digital magazine of GIS Resources. The edition titled “Geospatial Technologies: From Data to Information” focuses on the use of various geospatial technologies in the collection of spatial data and then transforming into information.

Magazine Link: https://bit.ly/3kGXeO3

(Link in bio as well)

Thanks to @theimperfectrhyme for bringing together the content for the same.

Happy Farming!

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis #soil #soilhealth #soc #organicmatter

The field displayed below is of one of our farmers from Israel and is approximately of area 15 hectares. The satellite data is of 7-Sep-2020. He has been using Farmonaut app since last one year and has been monitoring cotton in the farm. The displayed image is of NDVI (Normalized Difference Vegetation Index).
As is visible from the image, the field has reached its maturity and is ready for defoliation. Identifying the right time for defoliation helps farmers in maximizing their yield. The app is available on Google Play Store, Apple App Store as well as a Web App on our website
Happy Farming!
#soil #soilhealth #soc #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis

Comment below, how do you monitor and manage crop health and water stress on your farm.

DO YOU KNOW SATELLITES CAN HELP YOU IN THIS?

Let us know your thoughts. Happy Farming☺️!!

The app is available on Google Play Store, Apple App Store as well as a Web App on our website. Happy Farming!

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis

Know crop health and water stress information of your farms through satellites. download farmonaut from play store and start monitoring your farrms.

उपग्रहों के माध्यम से खेतों के फसल स्वास्थ्य और पानी के तनाव की जानकारी जानें। प्ले स्टोर से फार्मोनॉट डाउनलोड करें और अपने खेतों की निगरानी शुरू करें।

#remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis

(AVAILABLE ON ANDROID, IOS AND AS A WEB APP)
FARMONAUT SATELLITE BASED CROP HEALTH MONITORING

Within Last 2 weeks, around 50% of the Paddy has been harvested in one of our extensive farming hubs at Saharsa, Bihar. Though, water logging and fungus infestation occurred during this period, but the overall crop in the region was in good condition while the harvest started. The image attached below provides an overview of how crop health varied from Oct (24-Oct-2020) till November (3-Nov-2020) The displayed image is of EVI (Enhanced vegetation Index).

The colormap shows majority of the area in good condition and suitable for harvesting in the next few weeks. Once the crop is harvested completely, we will capture the Soil organic carbon content of the bare land and identify locations where soc content may have gone down. Once these locations are identified, a priority soil testing will be done on those locations.

We will keep everyone posted.

Happy Farming!

#newfeature #soil #soilhealth #soc #organicmatter #farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis

Today, we are releasing two new types of satellite data to further enhance our satellite based crop health monitoring offerings. From now onwards, all the users of the Farmonaut Platform (Web, Smartphone users as well as API users) will receive Radar Vegetation Images as well as Evapotranspiration Data too on top of several other satellite images already provided by us.

WHY DO WE NEED SYNTHETIC APERTURE RADAR IMAGES?
Cloudy weather notoriously interrupts capturing crop health metrics several times, especially in rainy season. Synthetic Aperture Radar penetrates clouds and guarantees reliable data supply throughout the year. Other information like phenological stage of cropland, growth dynamic or crop-type differentiation can also be derived from SAR data.

WHY DO WE NEED EVAPOTRANSPIRATION IMAGES?
Evapotranspiration (ET) is an important soil water balance component and plays major role in determining the potential yields in the agricultural sector. It is a key variable in many disciplines including irrigation management, crop growth, hydrologic cycle, plant physiology, soil-plant-water-atmosphere relationships, microclimate and surface interactions, and drainage studies.
In our quest to provide state-of-the-art technologies to the farmers we will keep pushing our limits. Farmonaut believes in adapting and improving with time. Your suggestions and feedback are highly valuable to us.

Happy Farming!

#farming #farm #harvest #precisionagriculture #organicfarming #greentech #technology #tech #foodsecurity #agrotech #agriculture #satellite #crophealth #farmonaut #fruit #vegetables #crops #agro #agritech #remotesensing #gis #earth #remotesensing #radar #evapotranspiration #sar

Today, we are releasing Soil Adjusted Vegetation Index (SAVI), Advanced Vegetation Index (AVI), Bare Soil Index (BSI), and Shadow Index (SI) through our web-app and for our API.

These indices play very important role in improving the capabilities of the crop health assessments when soil exposure can alter the actual observation of the crop health. These indices will help to mitigate these issues.

Happy farming!

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #greentech #satellite #vegetation #india #gis

Indian farmers have a wealth of knowledge when it comes to agriculture. But predicting the onset of any disease surely doesn’t fall in their realm. So where the farmer falls short, technology can come in handy.

Check this latest feature about Farmonaut by The New Indian Express. (Link in Bio)

https://www.edexlive.com/happening/2020/nov/06/this-start-ups-satellite-based-crop-monitoring-for-farmers-is-out-of-the-world-literally-15680.html

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis

Farmonaut matches the user location with satellite coordinates and fetches the latest imagery, and runs a series of image processing algorithms to deliver the best quality results to the farmers. Upon identifying the regions of unhealthy growth in the fields, farmers can simply pay a visit to that part of the field and identify if the problem has already started. If it has not, the farmer can take preventive remedies by applying more fertilizers, plant growth regulators etc. If the problem has already started, they can simply explain their problem to Farmonaut’s crop issue identification system and get real-time govt. approved remedies. Apart from this, farmers also receive vegetation water stress and soil organic carbon data as well! Farmonaut strives to bring state of the art technologies in the grasp of every farmer and will continue adding more features in the coming days. ☺️ Happy Farming!! 🌱🌾👩‍🌾 #farming #farm #harvest #agrotech #agriculture #satellite #crophealth #farmonaut #fruit #vegetables #crops #agro #agritech #precisionagriculture #organicfarming #greentech #technology #tech #foodsecurity #farmersofinstagram #farmerlife #urbanfarmer #urbanfarming #nasa #esa #spacex #remotesensing #gis #earth #earthfromabove

We are glad to announce a new addition to our list of features that is going to solve all the woes of business houses seeking the need for satellite data in the agriculture industry. Farmonaut® has made it easier for businesses to integrate the Satellite-Based crop health monitoring system provided by them with-in their websites by adding just a few lines of integration code.

With this, the businesses will be able to host Farmonaut’s systems on their websites and provide all of its cutting-edge services and platform features to their users. By hosting Farmonaut’s system on their websites, businesses will be able to increase their revenue influx as the revenue generated through this integration will be shared with the hosting website as well. Furthermore, the users subscribing to Farmonaut’s services through the website will also be provided an exclusive discount.

Happy Farming!

ISRO – Indian Space Research Organisation U.S. Department of Agriculture NASA – National Aeronautics and Space Administration NASSCOM CNBC Indian Meteorological Department

#farming #organicfarming #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #farm #agritech #agriculture #foodsecurity #technology #satellite #india #gis

In this video, we will show you the hybrid image generated by our systems. This hybrid image combines information of several satellite images and displays it as a single image. This helps any user to have an upper level overview about crop health and water stress status of the field from this single image.

#farming​ #organicfarming​ #urbanfarming​ #fieldscouting​ #remotesensing​ #greentech​ #smartfarming​ #precisionagriculture​ #farm​ #agritech​ #agriculture​ #foodsecurity​ #technology​ #satellite​ #india​ #gis​ #wheat

In 2016, fertilizer consumption for India was 165.8 kilograms per hectare. Fertilizer consumption of India increased from 100.3 kilograms per hectare in 2002 to 165.8 kilograms per hectare in 2016 growing at an average annual rate of 3.81 %.⠀
The chemical price can vary from 250 rupees to 2000 rupees per kg depending upon the specific chemical being used. So on an average an Indian farmer spends between 41500 to 332000 rupees per year on each hectare of arable land.⠀
⠀
Farmonaut identifies those areas of land where the crop growth is not normal. Farmer can apply fertilizers, chemicals, insecticides, pesticides, plant growth regulators etc. only in⠀
those areas where the crop growth is not normal. By using⠀
remote sensing results provided by Farmonaut, a farmer can save at least 30% on chemical consumption per year.⠀
So for every one hectare of land, farmer can save at least between 12000 (~ $160) and 95000 (~ $1300) rupees per year.⠀
⠀
The app is available on Google Play Store, Apple App Store as well as a Web App on our website. Happy Farming!⠀
⠀
#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #agro #agrotech #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #vegetation #india #gis