Implementation and Analysis of Smart Grass Cutter using AI Technique

Abstract
Traditional grass cutters, such as manual lawnmowers and gasoline-powered models, have long been used for maintaining lawns and gardens. Manual lawnmowers require physical exertion to push and operate, while gasoline-powered models rely on fossil fuels for operation, contributing to emissions and environmental impact. These traditional methods often involve significant manual labor, can be less efficient in navigating complex terrains, and may not always provide the precision and consistency of modern, AI-powered solutions. By using AI technology, Smart grass cutters are becoming increasingly necessary due to the growing demand for efficient and sustainable lawn care solutions. These innovative devices offer a range of benefits, including time and labor savings, enhanced convenience, improved safety, environmental sustainability, enhanced lawn quality, and accessibility for all. By automating the mowing process, reducing reliance on fossil fuels, and providing precise cutting capabilities, smart grass cutters offer a more efficient, convenient, and environmentally friendly approach to maintaining a well-kept lawn.
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