Automatic detection of plant diseases
📡 Python bindings for Remote Sensing Models
A Home Assistant integration to receive live data sent from the LeafSpy app
To extract leaf veins from scanned leaf groups.
Identify the type of disease present on a Cassava Leaf image
Multi-feature Combined Cultivar Identification System：An automatic leaf-based identification pipeline for plant cultivars using deep learning and persistent homology
Leaf disc scoring pipeline for estimating the area of infection on leaf discs from inoculation experiments.
Unofficial Home Assistant integration for interacting with Nissan Connect Japan vehicles 🚗
Final project engineering programming course 2022
Rice-Leaf-Disease is an image classification model fine-tuned from google/siglip2-base-patch16-224 for detecting and categorizing diseases in rice leaves. It is built using the SiglipForImageClassification architecture and helps in early identification of plant diseases for better crop management.
The "Cherry Leaf Health Detector" is a comprehensive repository housing a sophisticated Streamlit web application designed to assess the health of cherry leaves by distinguishing between healthy leaves and those affected by powdery mildew.
In This Project, We implemented a very simple image processing based leaf segmentation.
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