Demeter - The Farming Assistant
Abstract: India's agri-sector accounts for 18% of GDP but suffers from systemic inefficiencies such as delayed disease detection (accounting for 30% annual losses), fertilizer overuse, and inaccessibility of experts. Demeter is a system combining computer vision (CNN), ensemble learning (Random Forest), and NLP to offer: (1) Real-time disease identification through leaf image analysis (98.7% accuracy), (2) Data-based crop/fertilizer suggestions (97.3% accuracy), and (3) Multilingual chatbot support. The following paper elaborates on system architecture, ML model training, and field trial outcomes from over 250 farmers in Maharashtra.
Authors
- Archit Pathrikar
Publication Details
- Journal
- International Journal for Research in Applied Science and Engineering Technology
- Published
- 2025-04-18
- DOI
- https://doi.org/10.22214/ijraset.2025.68933
- Primary Topic
- Physics and Engineering Research Articles
- Type
- article
- Field-Weighted Citation Impact
- 0.00