Monitoring Plant Health and Diseases for Sustainable Agriculture using CNN
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Updated
Jan 6, 2025 - Python
Monitoring Plant Health and Diseases for Sustainable Agriculture using CNN
A proof-of-concept ontology for the Swiss agricultural and food sector
AgriGuide Digital Label Data Model
A Random Forest model for predicting incidence of potato blackleg at the landscape-scale.
PG Project -Smart crop protection system that detects animal intrusion in real-time using ESP32-CAM and a Machine Learning model, triggering a buzzer alert and Blynk app notification to the farmer.
Corteva Agriscience is a publicly traded, Fortune 500 global pure-play agriculture company that provides farmers around the world with one of the most complete portfolios in the industry, including a balanced and diverse mix of seed, crop protection, and digital products.
FMC Corporation
Advanced Channel-Enhanced Multi-Scale Pest Detection Network (CMPestNet) for crop-specific and cross-crop pest identification. Outperforms SOTA on Jute17, Pest24, and IP102 datasets.
CHS Inc. is a Fortune 500 diversified, integrated, global agricultural cooperative owned by farmers, ranchers, cooperatives, and individual producers.
FMC Corporation is a Philadelphia-headquartered global agricultural sciences company that develops and supplies crop protection products including herbicides, insecticides, fungicides, and biological solutions, alongside precision agriculture technology.
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