A mobile application written with flutter & firebase & Tenserflow <3 for plants identification (ML)
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Updated
Oct 20, 2020 - Dart
A mobile application written with flutter & firebase & Tenserflow <3 for plants identification (ML)
This repository contains field images of early stage tomato, cotton, velvetleaf and black nightshade. Agricultural University of Athens is performing several image capturing sessions and provides this dataset in order to promote research efforts in crop/weed identification.
🌻 Deep learning project of Taiwan plants classification and detection with chatbot implementation
WebComponent for identification using AI-taxonomist from Cos4Cloud
Android App for plant lovers! Identify plants, check the weather, and discover new favorites. Built using MVVM architecture with local caching using Room SQLite Database. Taru is completely open source! 🌿🌻🌱
Plant Species Identification
Serving a DL model built using Keras with Django framework
Plants identification by Deep Learning at SI
This Invasive Plants identification prototype allows users to identify region-specific invasive plants and suggests alternative non-invasive plants to plant instead. The admin webpage enables authorized users to expand and modify the database for comprehensive coverage.
OpenCV script to spot plants affected by Fusarium wilt.
Student project for plant recognition and inventory over position and time
Image classification of 41 different Algerian plants using Vision Transformers (ViT)
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