There are 2 repositories under plant-identification 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.
Image classification of wildflowers using deep residual learning and convolutional neural nets
Combine many organs from a plant to predict their species
The Plant-Image-Batch-ID is a Python-based Jupyter Notebook designed for automated plant identification from a directory of images that utilizes the PlantNet API.
Plant Sense 🌿🌱- the avant-garde plant disease identification application!! Stepping into the world where technology meets nature, and code turns into lush greenery. Welcome to our GitHub Garden, where we nurture the extraordinary! 🚀 🌟
Identification of images containing invasive species using convolutional neural networks
This is the backend of smartfarmerapp. It is an application that identify plant species and diseases to help farmers save yield and improve quality of their output. This would have multiplier effect throughout the agricultural value chain
MyGreenEyeD for ESRM 331, Spring 2020 at UW
A scaled down bootstrap version of a similar C# plant identification app using TaffyDB instead of Sql.
This Invasive Plants App enables users to identify region-specific invasive plants through photo identification and suggests alternative non-invasive plants to plant instead.