The concept of an AI project promises a higher yield for agribusiness

A groundbreaking AI-driven approach for crop planning and agricultural input procurement could help farmers make better decisions and boost their profits. The GRAMA (Game Theory, Random Processes, Artificial Intelligence, and Machine Learning for Agriculture) project, supported by NABARD, utilizes deep learning and game theory techniques. The initiative is led by Y Narahari, an honorary professor from the IISc’s Department of Computer Science and Automation, with expertise from the University of Agricultural Sciences, GKVK. GRAMA aims to optimize farmers' earnings through crop planning, crop recommendations, procurement strategies, market mechanisms, and price forecasting. The project leverages existing data on soil conditions, crop types suitable for specific districts, demand, yield, historical price trends, seasonal shifts, and cultural factors. Researchers suggest that by making the right adjustments in crop selection, farmers could see a 60% increase in their income. Read More: https://mirrorworldmagazine.com