An earth-observation satellite provides the greatest value in its ability to record a sequence of images to monitor earth features. Satellite data comprises signals sent by crops, soil, water, and more, at different wavelengths of light. Processing satellite images can let us know if any object is facing any problems because of the change in climate and weather. With satellite captured data, one can estimate historical and real-time agro-hydrological variables like health and growth of the crop, crop water stress/requirement/usage, and likely crop yield and more. Also, satellites provide the information to forecast rainfall and weather in advance. Integrated analysis of the above-mentioned data can provide insights into historical behavior and predict future uncertainties and help us to assess the real-time situation, hence tells crop suitability for the agriculture land. With these data at their fingertips, farmers/stakeholders can make optimal decisions and put favorable management techniques in place to minimize the inputs, maximize the outputs, and eliminate waste.
Small and marginal farmers with less than two hectares of land account for 86.2% of all farmers in India and cannot afford to install IoT sensors/fly drones to carry out farm management works or get insights of crops, weather, water, soil and more to make optimal decisions to improve the yield or predict the future uncertainties. As IoT sensors provide limited coverage (only a few cms around the sensor) of a farm with very limited variables, on the other hand, drones can cover a large area, however, most of them carry optical sensors which cannot provide accurate soil moisture. And both do not provide historical data to make the analysis or understand the crop/weather behaviors.

At Satyukt, we have developed scalable algorithms that provide suggestions/solutions by doing an integrated analysis of historical, real-time, and forecast data to assess the suitability of agricultural land and crop analysis in each location. The algorithms combine multi-satellite imagery, weather forecast data, IoT sensors/gauges, and manual measurement data and will be analyzed using big data analytics, physical and machine learning methods to provide insights at the desired scale across the globe in different climatic conditions at a much affordable price. Our subscription-based and customized plans allow farmers better information on their fingertips to get insights to make optimal decisions to choose suitable crops to sow and for better farm management to improve the yields.