Plant Disease Identification Using Convulutional Neural Network

API for the plant disease recognition artificial inteligence project which I collaborated on as a member of Team fort in the NaijaHacks hackaton.

Plant Disease Detection

A project to train and evaluate different dnn models for plant disease detection problem, tackle the problem of scarce real-life representative data, experiment with different generative networks and generate more plant leaf image data and implement segmentation pipeline to avoid miss-classification due to unwanted input

Disease classification on different plants with using Machine Learning and Convolutional Neural Networks.

plant leaf diseases prediction using four different trained models named pytorch, TensorFlow, Keras and fastai

Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.

A project to detect plant disease using leaf images and to calculate the percentage of leaf affected by the disease using OpenCV.

Plant disease detection using VGG16 model, which is a pre-trained model that has been trained on a large dataset of images.

Plant disease detection using images of leaves

Django Websites For Named Entity Recognition and Relation Extraction, Support by BRIN and Gunadarma

Using a pre-trained efficientnet (for experimental purposes) to classifier plant diseases given an image. Plant village challenge dataset.

plant resistance gene analyzer for getting the dna and protein sequences.

Raspberry Pi Grow Box Control Software

Downsampled version of PalntVillage dataset