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.
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Mar 22, 2020 - Python
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.
🍃 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.🌾
Plant recognition app built with Flutter and Plant.id's restful API.
Web app for plants recognition
AI based agriculture application
A Repository of Project Based Learning Semester 5 from M. Kemal, Lalu Immarratul, M. Ariel Saputra, and Ratnasari
Source code for the ADAM submission on the PlantCLEF2025 challenge
Code for PREN22: Processing of Video input, Scanning for QR-Codes, Plant Detection, Ultrasonicsensoring on RespberryPi
AI-powered mobile gardening assistant with plant disease recognition, smart care calendar, and automated reminders for iOS and Android
🌿 AI-Powered Medicinal Plant Recognition — 90.4% Accuracy — EfficientNetB0 — NUML Islamabad
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.
微信小程序植物识别与生态知识科普项目,基于 FastAPI、MySQL、豆包视觉模型与腾讯云 COS
An AI-powered Android application that classifies plants and flowers using TensorFlow Lite and deep learning models.
Hybrid ResNet-101 + ViT-B/16 feature fusion for 100-species leaf recognition: 98.46% top-1 reported over 20 unstratified random 70/30 splits (historical run), with single-branch ablations and a resumable, tested training pipeline.
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