PyKGML is a Python library to facilitate the development of knowledge-guided machine learning (KGML) models in agriculture and forestry
Automated plant disease detection system using image processing to help farmers to identify crop issues early and improve yield quality.
Crop Disease Detection using Deep Learning employs the ResNet29 model to identify and diagnose 38 distinct crop diseases. Utilizing the Plant Village dataset, this project achieves high accuracy in detecting diseases, helping to improve agricultural sustainability through timely and automated disease detection.
GramAI is a comprehensive digital ecosystem designed to empower rural communities and farmers. By bringing essential services like government schemes, real-time market data, and agricultural news onto a single platform, we aim to bridge the digital divide in rural areas.
Proyecto para el Hackathon de lablab.ai "Llama Impact Pan-LATAM Hackathon" utilizando tecnologías de IA de Meta.
Research implementation of the Weed Removal Recommendation Engine (WRRE), an AI-based decision support system for precision agriculture and sustainable weed management.
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