Grain Type Identification Using Machine Learning

byBharath kumar jm

Project Title Grain Type Identification Using Machine Learning 1. Project Overview This project aims to develop a mobile application that can identify different types of grains using Machine Learning and Image Processing. The user captures or uploads an image of a grain, and the system predicts the grain type such as: Rice Wheat Maize Green gram Chickpea Corn Lentils The project uses: Image Classification Convolutional Neural Network (CNN) Mobile/Web Interface 2. Problem Statement Farmers, traders, and consumers often face difficulty in identifying grain varieties accurately. Manual identification requires expertise and consumes time. This project proposes an AI-based mobile application that automatically identifies grain types from images using machine learning techniques. 3. Objectives To classify grain types using image processing To train a machine learning model for accurate prediction To build a simple mobile/web application To improve agricultural automation