Popular GitHub Repositories for Tomato

By leveraging artificial intelligence and computer vision, we aim to help reduce crop losses and promote sustainable farming practices.

Tomato Plant Disease Detection using TinyML

This repository utilizes TensorFlow Object Detection API for tomato leaf disease identification, including setup scripts, dataset preparation, model training, TensorFlow Lite conversion, and inference tools. It serves as a guide for efficient disease detection in agriculture.

This repository contains source code of Tomato Disease prediction using mobilenetv2

Simple android app that takes a image of tomato leaf and predicts if it is healthy or diseased, made with java, tensorflow, kaggle, ml

Detect tomato diseases using computer vision from the image of the plant and its leaves

A simple convolutional neural network (CNN) to classify ten different types of leaf diseases in tomatoes using Deep Learning frameworks and libraries.

An innovative mobile application designed to assist users in diagnosing tomato leaf health. Using advanced image processing and machine learning algorithms, this app allows users to scan a tomato leaf and receive immediate feedback on its condition.

About An AI model has been implemented to detect potato, onion & tomato on a resource constrained hardware

Repositori ini digunakan untuk membuat aplikasi web menggunakan streamlit untuk mendeteksi penyakit pada daun tanaman tomat.