Plant Disease Detector Web Application

A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture

Plant Disease Detection using convolutional neural network. Our model can easily predict the disease of plants like Potato , Tomato , Pepper Bel and many more in the upcoming version.

Android App to Detect Plant as well as Pest Detection

CPSC 5305 01 22FQ Introduction to Data Science Project

Plant Disease Detection using Convolutional Neural Networks

The project aims to develop a system that can accurately identify various diseases in plants using machine learning algorithms. The project aims to provide a tool that can help farmers and plant pathologists quickly identify and treat plant diseases, leading to higher crop yields and better food security.

Our mission is to help in identifying plant diseases efficiently. Upload an image of a plant, and our system will analyze it to detect any signs of diseases. Together, let's protect our crops and ensure a healthier harvest!

In this project, I trained a YOLOv8 model to detect diseases in tomato and potato plants. Accurate and timely detection of plant diseases is essential for effective crop management, and YOLOv8 offers the ability to perform real-time detection, making it a suitable choice for agricultural applications.

Using YOLOv8 and Detectron2 models, this project automates the detection of plant diseases from image data to facilitate early diagnosis and treatment.

Winner of 2021 Congressional App Challenge and OC Science Fair - https://youtu.be/cT2PHyR4q08

PlantDoc is a powerful web-based platform that allows farmers to detect plant diseases by simply uploading an image.

Apple Diseases Classificaiton with Google Teachable Machine

This is a project i made for my MINOR in college , which is based on Machine Learning and focuses on Image Processing .Feel free to make changes .

tomato

The Project aims to detect Potato Plant Disease🌱 from the uploaded images of the leaves of the before the plant gets the disease. The main aim of the repo was to learn CNN's with tensorflow.

This project is build using the Convolutional Neural Network which will be able to predict whether a plant is suffering from a disease.

This repository contains code and resources for classifying eggplant diseases using Convolutional Neural Networks (CNN). The project aims to provide a solution for identifying diseases in eggplants through image classification techniques, facilitating early detection and intervention to prevent crop losses.