Deep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
Plant recognition app built with Flutter and Plant.id's restful API.
🍃 Production-ready: Just upload a photo of any plant or crop, the system takes care of the rest. Powered by advanced object detection and Multi-AI Agents, it identifies over 100+ species and autonomously fetches detailed insights like scientific name, history, health benefits and risks, ideal growing seasons, market prices, etc.🌾
Web app for plants recognition
AI based agriculture application
Code for PREN22: Processing of Video input, Scanning for QR-Codes, Plant Detection, Ultrasonicsensoring on RespberryPi
Discover the world of plants with our Flutter-powered app! Capture or upload images for instant identification and get detailed information on the plants you encounter. Backed by a robust backend service, this app is perfect for botany enthusiasts and casual nature lovers alike.
A Repository of Project Based Learning Semester 5 from M. Kemal, Lalu Immarratul, M. Ariel Saputra, and Ratnasari
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