Namma Farmer: An AI-Driven Agricultural Platform for Farmer Empowerment
Namma Farmer: An AI-Driven Agricultural Platform for Farmer Empowerment
Salna Joy,Ummara Khan,2 Authors,B. V. S. Krishna
Abstract
Agriculture continues to be the backbone of rural economies, yet farmers still struggle with limited market access, dependency on intermediaries, lack of reliable real-time information, and insufficient awareness of modern farming practices. Namma Farmer is proposed as an integrated intelligent digital platform aimed at addressing these challenges through AI-driven decision support and direct market connectivity. The system employs a Retrieval-Augmented Generation (RAG) model for accurate question answering, personalized recommendations, and contextual agricultural guidance. It further incorporates real-time weather forecasts, commodity price analytics, and timely Government scheme alerts to assist farmers in making informed decisions. Additional modules such as a smart online marketplace, logistics and inventory management, fertilizer and crop recommendations, and a transparent bidding system create a unified ecosystem for seamless agricultural trade. The platform also supports multiple regional languages and includes self-learning content to enhance farmer knowledge and digital adoption. By integrating AI, data analytics, and user-centric design, Namma Farmer aims to empower farmers, improve productivity and profitability, and contribute to a more sustainable and transparent agricultural future.
