Month: March 2021

Every time the satellite crosses location of the selected field, Farmonaut’s Satellite Based Crop Health Monitoring System generates field results as well as user downloadable reports as well. These user downloadable reports can be used for offline purposes when the user is not connected to the internet or wishes to share the field data with the on-field team. These auto-generated reports consist of the following information:

1. Weather Statistics on the Imagery Capture Date (Weather Station, Temperature (minimum and maximum), Pressure, Humidity, Wind Speed, Wind Direction, Cloud Cover)
2. Weather Graphs
3. Weather Forecast (Next 7 Days)
4. Index Data for the satellite captured date
5. Satellite Captured Images
6. Time series trend of the indices
7. Scientific background of the indices
8. Field area in different health zone for each index

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

Introducing ROBUST POLYGON MANAGEMENT SYSTEM with the Farmonaut Web App. While monitoring a big area for crop health and water stress, a user may have to submit hundreds and thousands of polygons within a same master field to facilitate better data insight. To ensure a better accessibility for these large number of polygons within a field, farmers can now see a full searchable list of polygons on the interface itself as well as can provide a customized name for each and every polygon as well. By doing this, users can easily identify any specific polygon and analyze data for their ground level decision making.

Happy Farming!

#farming #organicfarming #crops #urbanfarming #fieldscouting #remotesensing #greentech #smartfarming #precisionagriculture #farm #agritech #agriculture #foodsecurity #technology #satellite #vegetation #india #gis #webapp #newfeature #organicmatter

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

 

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! Happy Farming!

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

PrecisionAg101 Post #4 : 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 Paulo o (Ponta Pora – State of Mato Grosso do Sul, 79900-000, Brazil), (Field Area: 47 Hectares). The image displayed on the map is NDRE (Normalized Difference Red Edge) captured by the satellite. NDRE images are used to quantify crop health when the crop is in the later stage of growth. NDVI index is not ideal for the crops in their later stage of growth because in grasses, cereal crops, permanent crops and in certain row crops which are in their later growth stages, chlorophyll content reaches a point at which NDVI reaches a maximum value of 1.0 and hence saturates. Hence, any crop health issue is hard to detect with NDVI until any such problem becomes strong enough to reduce the NDVI value below 1.0. This may happen at a point at which damage has already occurred. By substituting NDVI’s red band with NDRE’s red edge band we can mitigate this issue of saturation discussed above. So, in conclusion, if the crops of observation are permanent or dense, you should use NDRE right away. 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

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 #ndre #rededge #crophealth #fieldscouting #remotesensing #consultant #agriconsultant #greentech #smartfarming #precisionagriculture #farm

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

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

PrecisionAg101 Post #1 : Starting today, we will be releasing posts regularly 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 Harikrushn from Surendranagar, Gujarat (Field Area: 6 Hectares). The image displayed on the map is NDVI (Normalized Difference Vegetation Index) captured by the satellite on 15 Feb 2020. NDVI images are used to quantify crop health status in a 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 top left portion of the field is completely barren, whereas the remaining field is in the yellowish green or green region. This indicates that the crop health of the farmer’s field is pretty well. 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 #ndvi #fieldscouting #remotesensing #consultant #agriconsultant #greentech #smartfarming #precisionagriculture #farm #agritech #agriculture #foodsecurity #technology #satellite #vegetation #india #gis #waterstress #advisor #cropyield

Farmonaut has been at the forefront of providing satellite based crop health monitoring services to farmers. We keep upon adding useful features for farmers to make their farming practices much accurate. Today, we have integrated EVI results into our system which can be accessed through our android app.
Even though NDVI results are pretty accurate in estimating crop health status of a field, there are still a few shortcomings (atmospheric and ground level) which can influence the field results.
The Enhanced Vegetation Index (EVI) uses additional wavelengths of light to correct for the inaccuracies of NDVI. Variations in solar incidence angle, atmospheric conditions like distortions in the reflected light caused by the particles in the air, and signals from the ground cover below the vegetation are corrected for using EVI.
Select your field for satellite monitoring on the app and start receiving EVI results with the satellite data as well!
Happy Farming!
#evi #ndvi #ndwi #vegetation #soil #aerosol
#organicfarming #crops #urbanfarming #fieldscouting #remotesensing #consultant #agriconsultant #greentech #smartfarming #precisionagriculture #farm #agritech #vegetables #agriculture #foodsecurity #technology #satellite #india #gis #waterstress #advisor #cropyield

Managing multiple farmer portfolios and generating results (Remote sensing data, weather data, precision agriculture analysis, GEOTIFF images) for them can be time consuming. Not only it limits the number of farmers you can serve but also the amount of money you spend on generating these results through third-party services. Why not automate this entire process and receive all these results automatically whenever the new data is available. By automating this entire process through Farmonaut, you can save time, money as well as can increase your farming clientele multifolds. Download the app now and start monitoring fields of your farmers! For any queries contact us on: support@farmonaut.com

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