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 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.

A dataset for semantic segmentation of Sosnowsky's hogweed in the ground-level view photos taken in St. Petersburg, Malaya Vishera, Pushkin, etc.

🌿 Detect and classify plant leaves in real-time using YOLOv8, enhancing crop health and productivity through early disease identification.

Computer Vision + AI. Poisonous Plant and Soil Type Detection

Web application of plant-detection repository

A simple React Native app to analyse plants picture and detect species via API..

Sistem deteksi tanaman obat berbasis YOLOv8 dengan API FastAPI, frontend web sederhana, dan penyimpanan metadata ke PostgreSQL (tanpa menyimpan gambar).

Final graduation project based on Federated Training on Embedded Systems

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

fre22_object_detection

Proyecto de un entrenamiento de modelos de detección de objetos.