
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.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
