Prediction and Analysis in Neural Networks

Plant disease detection using images of leaves

Use of computational vision techniques to detect plant diseases

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

Classifier build to recognize disease on apple leaves images

Matura Project Assignment (High School Thesis) of Matyáš Boháček at Gymnázium Jana Keplera, 2022/2023

React front end of Image classification app AgRGB for detecting leaf disease in plant Leafs.

This is a deep learning project in agriculture domain that detect plants diseases

A Convolutional Neural Network based image classification model to detect disease in plants.

Eggplant biotic stress detection app using CNN

Dataset Analysis and CNN Models Optimization for Plant Disease Classification.

Biomedical Plant Disease Gold Standard Corpus Dataset For Relation Extraction From NCBI

r.pops.spread - PoPS model implemented as a GRASS GIS module

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

Raspberry Pi Grow Box Control Software

Flutter Application to help plant owners diagnose and treat diseases that may affect their plants.

A simple Plant disease detector APP, using image classification (Machine Learning) technique.

Biomedical Plant Disease Gold Standard Corpus Dataset For Named Entity Recognition From NCBI

This is a web app for predicting plant diseases using Convolutional Neural Networks (CNN). The model is trained on the PlantVillage dataset which contains images of healthy and diseased plant leaves. The dataset consists of 38 classes of plant diseases. The model is built using TensorFlow and Keras and trained on Google Colab.

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