Increased profits by the reduction in losses due to undetected crop health issues

Crop yield computation and analysis is an integral part of the agriculture business. The yield may vary due to the changes in climate which are difficult to model using any mathematical equations as it involves complex interactions which is difficult to model using conventional methods. The model requires parameters spanning over decades to identify the trend and predict the yield/risk involved in agriculture production.

High-resolution soil moisture data calculated using the innovative algorithm developed by Satyukt Analytics Pvt Ltd can model these changes and extrapolate to predict agriculture yield/risk associated with. This can also be used to determine the optimal amount of water required for each crop based on the soil type and properties. This model can increase profits as the risks are foreseen and adaptive methods are implemented accordingly.

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About the author: Catherin Sebastian

The author is a research enthusiast, she has completed her M.Tech. in Remote Sensing and GIS, from NIT Warangal. Her expertise includes the application of microwave satellite remote sensing for providing the solutions in Water Resources and Agriculture.

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