There are 2 repositories under plant-classification topic.
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.
Official Repository for CWD30 Dataset
Developed a Plant Species Identification system using Flask and the ResNet9 model. This tool accurately identifies plant species from images, making it indispensable for botany enthusiasts. Key skills involved include Convolutional Neural Networks (CNN), HTML, CSS, and Python.
A curated collection of 45 high-quality RGB image datasets for computer vision in agriculture. Features datasets for weed detection, disease identification, and crop monitoring, focusing on natural field scenes. Part of our GIL 2025 survey paper.
Source code for the paper "Automatic Fused Multimodal Deep Learning for Plant Identification" (Alfreds Lapkovskis, Natalia Nefedova & Ali Beikmohammadi, 2024)
🌿 Flower Classifier implementation and Django Web App with integrated ML model.
Source code of a sample iOS app for the paper "Automatic Fused Multimodal Deep Learning for Plant Identification" (Alfreds Lapkovskis, Natalia Nefedova & Ali Beikmohammadi, 2024)
Treelogy: A Novel Tree Classifier Utilizing Deep and Hand-crafted Representations
Plant classification (angiosperms, gymnosperms, bryophytes and pteridophytes), using machine learning with Python
This project features AI models for identifying mushrooms and plants as poisonous or edible using image-based predictions. Both models are tested through an interactive Gradio interface, ensuring user-friendly and accurate identification for foragers and researchers.
The Big Mayevsky - оцифрованная версия известного определителя растений европейской части России. Отличие от книги заключается в том, что переход от одного пункта к другому происходит автоматически и вам не надо перелистывать книгу.