GenZ AgriTech  An Intelligent Agricultural Platform Using AI And ML

Priya Gupta; Uttam Kumar; Vansh Tyagi; Ankur Kaushik

GenZ AgriTech An Intelligent Agricultural Platform Using AI And ML

Author : Priya Gupta, Uttam Kumar, Vansh Tyagi, Ankur Kaushik Journa Name: International Journal of Scientific Research & Engineering Trends Volume: 12 issue: 2 Year: Volume-12-issue-2 Views : 21

Abstract:

Agriculture faces challenges including unpredictable weather, plant diseases and their treatment, soil classification with crop recommendation and limited agricultural expertise access. GenZ AgriTech addresses these through an integrated AI platform leveraging machine learning and deep learning. The system includes seven core modules: weather forecasting, plant disease detection (99.17% accuracy), soil type classification(99.63% accuracy), AI chatbot support, government scheme information portal, crop recommendation, and yield prediction — all delivered through a user-friendly frontend with advanced visualizations. This platform implements a comprehensive web-based agricultural assistance system utilizing artificial intelligence and machine learning technologies to support Indian farmers. By integrating multiple AI-powered services, it provides intelligent decision-making tools for sustainable agriculture, contributing to food security and farmer empowerment across the nation.