Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.

基于YOLOv11+Flask+Vue+SQLite3的杂草检测系统

🍅 AI-powered tomato classification system using ResNet-50 and color analysis to sort tomatoes into ripe, unripe, and damaged categories. Includes video frame extraction, batch processing, and pre-trained model with 95%+ accuracy.

Folder with code related to object detection in the CCTV cameras placed in the agricultural field and also down streaming for agricultural use-case

Deep learning feasibility study for automated clove quality classification using CNN architectures on a novel Zanzibar dataset. AI for East Africa Conference (AI4EAC) 2026, Kigali, Rwanda.

Streamlit ML app predicting optimal crop types from N/P/K ratios, soil pH, temperature and rainfall using RandomForest + SHAP explainability. Batch CSV inference supported.

Plant health AI platform — leaf disease classification (38 classes) from photos, soil/climate care recommendations, growth stage tracking, and LLM-powered plant Q&A.

PyTorch MLP that forecasts crop yield (kg/ha) one year ahead for 165 countries & 102 crop types using multi-source climate, soil, and land-cover data. R²=0.9452 | Pearson r=0.9681 | 52K+ training samples.

Open-source AI agriculture platform — TensorFlow crop yield prediction, OpenCV plant disease detection, JWT-authenticated Flask REST API, SQLite crop marketplace, and a React 18 + Vite dashboard. Self-hosted, fully documented, and live in under 2 minutes.

Official benchmark dataset and code for clove quality grading using classical texture features and fine-tuned deep models. CVPR 2026, Vision for Agriculture (V4A) Workshop.

Plant AI internship project — leaf disease classification (38 classes) from photos, soil/climate care recommendations, LLM-powered plant Q&A chatbot, and growth stage tracking via Streamlit.

End-to-end crop prediction ML deployment — joblib-serialised RandomForest/XGBoost served via FastAPI or Streamlit, with Docker containerisation and health-check endpoint.