remote sensing

Normalized Difference Vegetation Index – NDVI

Blogs, remote sensing / By

Normalized Difference Vegetation Index – NDVI It has been quite a long time since scientists and agronomists are using Normalized Difference Vegetation Index (NDVI) to monitor and examine health of crops. The extent and benefits of NDVI have increased manifold with so many earth mapping satellites being launched every year to monitor earth’s surface in different wavelengths. To calculated NDVI index, we need imagery from two different wavelengths, namely Near Infrared and Red band imagery. And the NDVI ratio is calculated as: NDVI = (NIR – RED)/(NIR + RED) From this formula, it is apparent that the density of vegetation (NDVI) at a given point in the generated image is equal to the difference in the intensities of reflected light in the red and infrared range divided by the sum of these two intensities. The value of the NDVI index can range from -1.0 to 1.0.  The negative NDVI values are mainly due to clouds, snow and water.  The values of NDVI close to zero are mainly due to rocks and bare soil.  NDVI values ranging from 0 to 0.1 correspond to sand, snow or empty areas of rocks.  NDVI values ranging from 0.2 to 0.3 represent shrubs and meadows, and NDVI values ranging from 0.6 to 0.8 indicate tropical and temperate forests. In simple words, NDVI measures status of plant health based on how plants reflect light at certain frequencies. Though we cannot perceive it with our eyes, everything around us (including plants) reflect wavelengths of light in visible and non-visible spectrum. Taking into account how much amount of a certain wavelength is reflected, we can access the current status of plants.  We know that plants have chlorophyll which absorb sunlight for photosynthesis .Chlorophyll immensely absorbs visible light (0.4 to 0.7 microns) for photosynthesis, whereas structure of cells of leaves immensely reflect near-infrared light (0.7 to 1.1 microns). If a plant is healthy, it will have large amount of chlorophyll on it’s leaves and will absorb good amount of visible light from 0.4 to 0.7 microns and reflect quite less of it and vice-versa.  Farmonaut’s Crop Health Monitoring system is provided to farmers and monitors how much sunlight is reflected by the plants. We take into account this basic principle in identifying crop health status of an agricultural land. For research purposes (non-farming usage), Farmonaut provides access to satellite imagery of any place around the through our android app. For agricultural purposes, Farmonaut provides satellite based crop health monitoring system on our android app, through which farmers can select their field and identify the regions of the field at which the crop growth is not normal. Upon identifying that region 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. The satellite imagery is updated every 2-5 days and has a resolution of 10 meters which is 2 times better than google maps in rural India. The app is available at: https://farmonaut.com/app_redirect We will keep posting about any such informative information on to our blogs, to help as many people as possible. Farmonaut is built upon a vision to bridge the technological gap between farmers and strives to bring state-of-the-art technologies in the hands of each and every farmer. For any queries/suggestions, please contact us at [email protected]. We have some more interesting articles coming up soon. Stay tuned! Wait!!

Geotag Farms at Large Scale with Farmonaut

Blogs, Precision Farming, remote sensing / By

Geotag Farms at Large Scale with Farmonaut Geotagging refers to the process of adding geographical identification metadata, such as latitude and longitude coordinates, to various types of media, such as photographs, videos, or social media posts. Geotagging is typically achieved through GPS technology, but it can also be done manually by entering the coordinates or selecting a location on a map. However mapping large hectares of land can be a quite daunting task. This is where, Farmonaut’s contemporary approach to manage large-scale farms winning favor. Farmonaut® presents a dynamic and sophisticated solution for corporate farm management. Farmonaut’s Admin application for Corporates allows: seamless mapping of fields monitor and manage data accessibility to advanced web features from smart phones. With Farmonaut, Farmers can: Reduce chemical/fertilizer consumption, by applying it only where needed. Cut labour costs, by directing it only where needed and save on irrigation water, by avoiding wastage. Increase overall yield, by maintaining soil health and nutrient content. With Farmonaut, Corporations can: Manage farms at a large scale, down to the district/village level. Obtain data in real-time, with quick and convenient access. Track crop health and progress at every stage. Share data with multiple farmers and increase their yield and productivity Perks offered by Farmonaut: Map large and multiple farms through Farmonaut’s app. Efficient farming with easy map technology. Maximize yield with our mapping solution. Transform farming with accurate satellite results Can Farmonaut’s Geotagging be a Leap forward? Geotagging has a lot of potential in agriculture, as it can provide valuable location-specific data that can help farmers make informed decisions about their crops and land management practices. Here are a few ways geotagging can be used in agriculture: Soil analysis: Geotagging can be used to collect and analyze data on soil quality and characteristics, such as pH levels, nutrient content, and water retention. Crop mapping: Geotagging can be used to map the location and size of different crops on a farm and also track the growth and health of their crops and make decisions about harvesting and planting. Pest and disease management: Geotagging can be used to track the spread of pests and diseases on a farm and take action to prevent further spread. Precision agriculture: Geotagging can be used to implement precision agriculture techniques, such as variable rate fertilization and seeding. By using GPS technology to precisely target inputs and optimize yields, farmers can reduce costs and increase productivity. Overall, geotagging has the potential to provide farmers with valuable data that can help them make informed decisions about their land management practices, ultimately leading to more sustainable and productive agriculture.

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