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.
🌿 Detect and classify plant leaves in real-time using YOLOv8, enhancing crop health and productivity through early disease identification.
A dataset for semantic segmentation of Sosnowsky's hogweed in the ground-level view photos taken in St. Petersburg, Malaya Vishera, Pushkin, etc.
Computer Vision + AI. Poisonous Plant and Soil Type Detection
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.
Web application of plant-detection repository
Sistem deteksi tanaman obat berbasis YOLOv8 dengan API FastAPI, frontend web sederhana, dan penyimpanan metadata ke PostgreSQL (tanpa menyimpan gambar).
Real time detection of the plant using model trained on the Roboflow dataset
fre22_object_detection
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."