Smart Crop Care: AI-Powered Mobile Tool Improves Pest Control in Rice Farming.
We developed an AI- and predictive analytics-powered next-generation crop management application in collaboration with Kerala Agricultural University. When farmers take pictures of their crops, the technology detects pests or diseases, predicts breakouts, and sends them cellphone alerts with immediate, useful advice. Rice farmers in Kerala are able to proactively control crop health, minimize losses, and improve harvest quality because of this smooth fusion of state-of-the-art technology with indigenous agronomic expertise, revolutionizing the practice of sustainable agriculture.
Key Features and Impact
Predictive Pest Surveillance: AI-based model to predict pest occurrences according to block-level weather forecasts, issuing timely forewarnings to farmers.
Bilingual Support: Available in English & Malayalam for accessibility across diverse farmer populations.
Multi-Crop Support: Modified to support multiple crops across districts, adapting to varying climatic conditions.
Real-Time Pest Identification: Allows farmers to upload photos of pests, enabling Kerala Agricultural University’s experts to analyze and provide recommendations.
Interactive Feedback System: Collects and integrates farmers’ feedback, fostering ongoing improvement and responsiveness.
