Integrated Hybrid Satellite Crop Yield Model

The IHSCYM integrates the satellite data from various agencies like Indian Space Research Organization (ISRO), European Space Agency (ESA) and National Aeronautics and Space Administration (NASA). The model predicts sugarcane acreage estimation , sugarcane biomass estimation , wheat and paddy productivity at village level without using retrospective empirical analysis, which constitutes a new opportunity for timely yield estimates for large regions. The merit of this IHSCYM is quick turnaround time, which means wheat productivity can be predicted just before the harvesting of the crop. Therefore, it is possible to identify the clusters of villages with low productivity and take appropriate remedial steps to enhance the productivity.

Smart agriculture reduces the negative environmental impacts on farming, increases resilience and soil health and decreases costs for farmers. Remote sensing (via satellites), GIS, crop and soil health monitoring, and technologies for farm management are commonplace in developed countries. In India Hon’ble Prime Minister has always emphasized upon the application of cutting-edge technology for agriculture.The traditional methods to assess crop damage have become inaccurate and irrelevant in such an ever-changing scenario. Technology based models to assess crop damage are the need of the hour to provide relief to the farmers as envisaged in the vision of our Hon’ble Prime Minister. .

The present framework could also be transformed to early ( “within-the-season ”) estimation before the completion of the sugarcane harvest, as it has been proven that specific observation times during the season as well as the growth rate between ratooning and maximum canopy closure (peak of season) are contributing to the yield model robustness. Further work will include expanding and testing the transferability of the model to other geographical regions as well as the integration of multi-sensor data from different aerial or satellite imaging platforms, including Synthetic Aperture Radar such as Sentinel-1, especially for regions with frequent cloud cover, impeding optical satellite monitoring. For the computation of sugarcane yield models for multiple regions of a larger scale, the integration of soil data, management practices (irrigation, fertilization, chemical application, crop pest and disease control) and meteorological data such as temperature sums, growing degree days and precipitation sums will be examined..

Integrated Hybrid Satellite Crop Yield Model (IHSCYM) Analysis for for Sugarcane Area , Biomass Estimation and Ethanol Estimation