PhenoBench Development Kit
A computer vision-based project that uses YOLOv8 to detect and classify plant leaves in real time, helping identify healthy and diseased plants efficiently to support smart agriculture solutions.
A dataset for semantic segmentation of Sosnowsky's hogweed in the ground-level view photos taken in St. Petersburg, Malaya Vishera, Pushkin, etc.
A mobile and ML project for plant analysis, including disease detection, species classification, and leaf/age analysis. Provides Python backend for model training and inference, and a React Native mobile app for on-device usage.
Computer Vision + AI. Poisonous Plant and Soil Type Detection
🌿 Detect and classify plant leaves in real-time using YOLOv8, enhancing crop health and productivity through early disease identification.
Web application of plant-detection repository
Real time detection of the plant using model trained on the Roboflow dataset
fre22_object_detection
Sistem deteksi tanaman obat berbasis YOLOv8 dengan API FastAPI, frontend web sederhana, dan penyimpanan metadata ke PostgreSQL (tanpa menyimpan gambar).
A simple React Native app to analyse plants picture and detect species via API..
Add a description, image, and links to the plant-detection topic page so that developers can more easily learn about it.
To associate your repository with the plant-detection topic, visit your repo's landing page and select "manage topics."