ICT And AI Platforms for Farmers: A Review
Anuj Yadav
Department of Library and Information Science, MLSU, Udaipur, Rajasthan, India.
Ruchi Singh *
Department of Human Development and Family Studies, School of Home Science, BBAU, Lucknow, Uttar Pradesh, India.
*Author to whom correspondence should be addressed.
Abstract
The agricultural sector has undergone tremendous change as a result of the combination of Artificial Intelligence (AI) and Information and Communication Technology (ICT), especially in terms of improving farmers' access to information and ability to make decisions. ICT tools that offer timely information on weather, soil health, crop management, and market circumstances include mobile applications, Kisan Drones, SMS services, e-agriculture portals and digital marketplaces. Precision farming and risk management are further supported by chatbots, AI-driven advice systems, pest detection technologies and predictive analytics. The types, benefits, and challenges of ICT and AI platforms utilized by farmers are summarized in this paper. The results show significant gains in productivity, cost effectiveness, and access to trustworthy information, but problems like affordability, connectivity constraints and gaps in digital literacy still exist. To promote broader implementation, the review highlights the necessity of inclusive, user-friendly and region-specific digital agriculture systems.
Keywords: Agricultural sector, Artificial Intelligence, information and communication technology, precision farming, chatbots