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.
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
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.
fre22_object_detection
Real time detection of the plant using model trained on the Roboflow dataset
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..
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