Intelligent Agricultural Advisory System: Chatbot Support, Disease Diagnosis, and Crop Recommendations
Abstract
The Agricultural Advisory System evolves the art of farming using real-time data related to soil health, market dynamics, and environmental conditions to create localized recommendations based on machine-learning inputs. This leads to increased agricultural productivity, efficiency, and sustainability. It provides reliable information at a regional level by relying on scientific techniques like neural networks and random forests for crop recommendation. Early agricultural disease identification is made possible by advanced image processing, which reduces crop losses, enables proactive disease management, and lessens the need for chemicals. Furthermore, the module offers personalized fertilizer recommendations by assessing soil health to create customized nutrient mixtures that promote sustainable soil management and increase long-term productivity. Additionally, the system provides round-the-clock assistance through an interactive chatbot. As a result, the support will help the farmer make decisions by providing them with real-time information, professional counsel, and updates on market trends.
Fields of Study & Subjects
Smart Agriculture and AI
Agricultural Development and Management
Internet of Things and AI
Publication details
- Journal / source
- International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)
- Pages
- 1–6
- Publication date
- 22 January 2026
- Language
- EN