AI-Driven Agricultural Extension: The Future of Advisory Services
Year: 2026
Type: book-chapter
Abstract: 14 AI-Driven Agricultural Extension: The Future of Advisory Services Vikas Chandra Gautam*, Riya Goswami, Bhawika Bisht, Himanshu Umriyal Ph.D. Scholar G. B. Pant University of Agriculture and Technology Pantnagar Uttarakhand, India DOI: 10.5281/zenodo.20531806 Abstract Agricultural extension plays a crucial role in transferring scientific knowledge, improved technologies, and modern farming practices to farmers in order to enhance agricultural productivity, income, and rural livelihoods. However, traditional extension systems often face challenges such as limited manpower, delayed communication, and difficulty in delivering location specific advisory services to a large farming population. In recent years, Artificial Intelligence has emerged as an innovative technology capable of strengthening agricultural extension services by improving the speed, accuracy, and accessibility of information delivery. Artificial Intelligence enables computer-based systems to learn from data, recognize patterns, and support decision making processes. In agriculture, these technologies help farmers and extension professionals analyze complex information related to weather conditions, soil characteristics, crop health, and market trends. By processing large volumes of data quickly, Artificial Intelligence based tools provide timely and personalized recommendations that improve farm management decisions. Several digital platforms such as CropIn, Plantix, Fasal, Farmonaut, DeHaat, KissanAI, and PlantVillage Nuru assist farmers through real time advisory services, pest and disease diagnosis, crop monitoring, and climate related guidance. These technologies support precision farming practices including smart irrigation, crop surveillance, and improved resource management. The integration of Artificial Intelligence in extension systems can enhance productivity, strengthen climate resilience, and contribute to sustainable agricultural development and global food security. Keywords: Agricultural Extension, Artificial Intelligence, Digital Agriculture, Precision Agriculture, Smart Farming
Authors: gautam, Vikas chandra, Goswami, Ria, Bisht, Bhawika, Umriyal, Himanshu
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7163374306