Chapter-06: Artificial Intelligence and Big Data in Agriculture: Economic Impacts and the Agrimind Platform Case Study

AI and Big Data are revolutionizing the agricultural industry through a structural shift that disrupts past norms, eliminating inefficiencies in the industry which employs 27% of the global workforce. Characterized by low productivity, informational asymmetries, and climate variability, the field is now witnessing a major transformation through the use of machine learning, satellite remote sensing, and IoT sensors network technologies. This paper explores the economics of such innovations by analyzing the economics associated with the use of AgriMind AI platform for integrated agricultural management purposes. With regard to microeconomics, AI-enabled precision instruments – e.g., using CNN algorithms for disease detection and NDVI analysis for nutrient optimization - allow shifting the production possibility frontier outward by lowering production costs by 15–30% and raising net profit margins of farmers by 12–18%. On a broader market level, the employment of LSTM networks to forecast prices helps solve informational asymmetries ("lemons" problem) for farmers, allowing them to better bargain and lowering the bid-ask spreads. At the macro-level, the paper explores how the use of AI and Big Data technologies could potentially lead to lower rural poverty (by 4–5 percentage points) and increase annual GDP growth by 0.6% in countries like India through improved supply chain efficiency and formal financial inclusion.