| _version_ | 1866901176396546048 |
|---|---|
| author | Lavanya J V Sathya |
| author_facet | Lavanya J V Sathya |
| contents | <p>Agriculture in India faces challenges due to climate variability, soil nutrient depletion, and limited access to expert guidance. This paper presents Harvestify (CropCareAI), an AI-powered system that provides crop recommendations, fertilizer suggestions, plant disease detection, weather intelligence, and interactive chatbot support for Indian farmers. The system integrates machine learning models, deep learning CNN-based disease detection, and real-time weather data, with multi-language support for English, Hindi, Tamil, Marathi, and Kannada. Field deployment demonstrates increased crop yield, optimized fertilizer usage, and early disease management, making agriculture more efficient and data-driven.</p> <p>The platform is designed with a responsive web interface for mobile and desktop, ensuring usability across diverse Indian farming communities. Field testing and simulated experiments demonstrate that Harvestify can increase crop yield by 15–20%, reduce fertilizer waste by 30%, and detect plant diseases early in 40% of monitored cases. By combining machine learning, deep learning, and real-time data in a multi-lingual, user-friendly platform, Harvestify provides a scalable and practical solution for sustainable agriculture. It highlights the potential of AI-driven systems in enhancing productivity, reducing resource wastage, and improving decision-making among farmers in resource-limited regions.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17999860 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CropCareAI - A Smart Agricultural Advisory System for Indian Farmers Lavanya J V Sathya <p>Agriculture in India faces challenges due to climate variability, soil nutrient depletion, and limited access to expert guidance. This paper presents Harvestify (CropCareAI), an AI-powered system that provides crop recommendations, fertilizer suggestions, plant disease detection, weather intelligence, and interactive chatbot support for Indian farmers. The system integrates machine learning models, deep learning CNN-based disease detection, and real-time weather data, with multi-language support for English, Hindi, Tamil, Marathi, and Kannada. Field deployment demonstrates increased crop yield, optimized fertilizer usage, and early disease management, making agriculture more efficient and data-driven.</p> <p>The platform is designed with a responsive web interface for mobile and desktop, ensuring usability across diverse Indian farming communities. Field testing and simulated experiments demonstrate that Harvestify can increase crop yield by 15–20%, reduce fertilizer waste by 30%, and detect plant diseases early in 40% of monitored cases. By combining machine learning, deep learning, and real-time data in a multi-lingual, user-friendly platform, Harvestify provides a scalable and practical solution for sustainable agriculture. It highlights the potential of AI-driven systems in enhancing productivity, reducing resource wastage, and improving decision-making among farmers in resource-limited regions.</p> |
| title | CropCareAI - A Smart Agricultural Advisory System for Indian Farmers |
| url | https://doi.org/10.5281/zenodo.17999860 |