V, Bhagyalakshmi and Naik, Sunil Moorti and B N, Apoorva and M, Gowthami and N, Preethi (2025) Solar Based Grass Cutting Robot with Leaf Disease Detection. International Journal of Innovative Science and Research Technology, 10 (5): 25may1796. pp. 3159-3162. ISSN 2456-2165

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Abstract

This project is about developing a grass cutting machine that runs on solar power instead of electricity or fuel. The main idea is to make a simple, eco-friendly, and cost-effective solution for cutting grass in gardens, parks, and small farms. The machine uses a solar panel to collect energy from the sun, which is then stored in a rechargeable battery. This stored energy is used to power the motor and blades of the grass cutter. Since it uses solar energy, it helps reduce pollution and does not rely on fossil fuels or electricity from the grid. It also saves money in the long run, as there is no need to buy petrol or pay electricity bills. The machine is easy to operate, lightweight, and can be used in rural or remote areas where power supply may be limited. The main goal of this project is to promote the use of renewable energy and provide a practical tool for maintaining green spaces in an environment-friendly way.Grapes are a globally cultivated fruit crop, but their productivity is significantly affected by various leaf diseases. Early detection and accurate classification of these diseases are essential for effective management and prevention. This project presents an intelligent system for automated grape leaf disease classification using deep learning techniques.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Editor IJISRT Publication
Date Deposited: 20 Jun 2025 06:52
Last Modified: 20 Jun 2025 06:52
URI: https://eprint.ijisrt.org/id/eprint/1293

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