Geotagging farms is a great way to ensure that data on farm and soil health is being tracked. However, to optimize any seed production process the need is to change the course of action based on these indices from GIS analysis of crop and land. KhetiBuddy’s solution enables you to do just that! With our platform capabilities you can now make decisions on the farm with the help of your internal agronomy experts to take recommendations under action with simplified algorithm logic setup.

Researchers and management need reports to assess the seed farms at the end of the season and improvise for the next season. With the help of the data coming live from the field and weather stations on various aspects of farming, the researchers can identify crop stress points, challenges in seed production and dissect these hurdles to overcome with genetic improvements and/or change in agricultural practices. To continue optimizing the yield and quality of the output and ensure traceability of seeds through surveys and capturing data on the inputs that are used in the production, our farm management software provides the flexibility required.

For agricultural production, machine learning can add value by providing predictions on potential areas of pest and disease incidence and yield forecasting. Understanding the nature of the relationship between the variables that influence the outcome can be immensely beneficial for improvising agricultural practices that can improve the yield. The output is highly dependent on the inputs that go in and the quality is the reflection of the same being done at the right time and place. Managing nutrition is complex and needs a smart decision making system that dynamically adjusts the requirements of inputs based on historical data to provide recommendations.