Plant Disease Detector Web Application
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
A deep learning CNN model to predict diseases in plants using the famous AlexNet architecture
CPSC 5305 01 22FQ Introduction to Data Science Project
Using YOLOv8 and Detectron2 models, this project automates the detection of plant diseases from image data to facilitate early diagnosis and treatment.
Plant Disease Detection using Convolutional Neural Networks
This app uses a deep learning model built with PyTorch to detect diseases in plants based on images of their leaves. Currently, the app supports disease detection for maize (corn), but we plan to expand to more plants in the future.
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.
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 .
Detailed guide on how to train model using Python TensorFlow and the training data. Also has code to split, train, test and convert the .h5/.keras to .tflite
A machine learning-based project aimed at detecting and identifying plant diseases from images of affected plants. Plant Disease Detection Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Apple Diseases Classificaiton with Google Teachable Machine
Winner of 2021 Congressional App Challenge and OC Science Fair - https://youtu.be/cT2PHyR4q08
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.
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