Farmonaut was a vision seen in 2018 to bridge the technological gap between the farmers and their outputs. It also offers a satellite-based crop health monitoring system to agricultural companies to map more than 25000 farmers’ fields. Farmanaut uses geotagging to map fields and provide smart data to farmers through its robust and advanced web app.
In this paper, we focus on forecasting yield of wheat based on data from Sentinel-2 satellite data. The study area was wheat crop in Saharsa (Bihar). The crop is in advanced stage and has vegetated fully and harvest is expected in next 20-30 days.
Last 6 Months have taught us so much at Farmonaut. We faced the dangerous 2nd wave of covid-19 which affected all of us on the team as well as family level. For a bootstrapped startup like Farmonaut® it was a very important battle to be fought. It feels great to see us achieve so many milestones even in these tough times.
In this paper, we focus on forecasting yield of paddy based on data from Sentinel-2 satellite data. The study area was wheat crop in Saharsa (Bihar). The crop is in advanced stage and has vegetated fully and harvest is expected in next 10-30 days depending on crop variety of rice.
The differentiation between clouds and snow can be difficult because of similarity in spectral characteristics in the visible wavelength range. It is important to differentiate between cloud and snow to improve in accuracy of cloud detection.
One of the most common question being asked is NDVI or NDRE, which one should I use? And what we say to this is that it depends upon the growth stage of your crops in the farming field.
Cloud coverage essentially means the fraction of sky covered with clouds. In this article, we will illustrate a technique to find cloud cover percentage explicitly for beginners in image processing and discuss the limitations of the technique.
On the 3rd of May,2019, Odisha witnessed the strongest April cyclone in 43 years. With winds of more than 200 kmph, Cyclone Fani took over 64 lives and affected the lives of over 1.6 crore people in roughly 18,388 villages and 51 towns.
Plant humidity is an important indicator for wildfires monitoring and for defining of possibly dangerous regions. NDWI in comparison with NDVI is more accurate indicator of plant humidity.
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.
