Deep multiple instance learning based wheat diseases diagnosis system
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Updated
Dec 10, 2017 - Python
Deep multiple instance learning based wheat diseases diagnosis system
Recommendation system for farmers based on soil type, location, season etc.
Using MLT to predict the risk profile of farmers and suggestive measures based on it.
Submission for SELECT Make-A-thon '18, Vellore Institute of Technology
🏞️ strategic landuse for agriculture and ecosystem recovery.
Work area recognition for small robots. Computer Vision Research Internship. TUAT, Japan.
Drone Processing Pipeline at UA
Undergraduate Thesis in Information Systems Engineering: Wirelessly Networked Coordination of Section Control for Agricultural Machines
A dashboard is a practical tool for developers of agricultural applications that makes a visual representation of Agricultural APIs and weather APIs. This dashboard is built using the python Streamlit library.
Transformer template for plot level RGB data analysis. Please read HOW_TO.md to start
Annotation software for crop structure (keypoint and bounding box)
Agricultural Raspberry Pi Car
AgriAid is an AI-powered tool for farmers & agricultural agents in Bangladesh, offering plant disease forecasting & identification. Using machine learning, deep learning & Python, it helps increase crop yield & food security.
AgrO describes agronomic practices, techniques, and variables used in agronomic experiments.
leaf segmentation using python opencv
Agriculture Yields Predictor App - Data science project using Python(scikit-learn, pandas, plotly, matplotlib, shap, streamlit)
Public repository of our IGARSS 2023 submission
IdragraTools are a set of instruments developed for QGIS and useful to prepare a simulation dataset for the IdrAgra model.
A geospatial raster processing library for machine learning
Image analysis for rapid phenotyping of soybeans
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