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.

🌿 Flower Classifier implementation and Django Web App with integrated ML model.

Source code 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

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)

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.

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.

Plant classification (angiosperms, gymnosperms, bryophytes and pteridophytes), using machine learning with Python