Date of Publication :2nd September 2024

Abstract:The increasing demand for sustainable agriculture has prompted the development of autonomous agricultural weeding robots as a promising solution to minimize herbicide usage, reduce labour costs, and enhance crop yield. This paper provides a comprehensive review of the existing literature on autonomous agricultural weeding robots, focusing on their design, sensing technologies, navigation algorithms, and performance evaluations. challenges such as weed detection accuracy, adaptability to different crop types, and robustness in various environmental conditions are addressed. Future directions for research and development in the field of autonomous agricultural weeding robots are also proposed, including the integration of advanced machine learning techniques for improved weed detection and classification, enhanced autonomy through multi-robot systems, and optimization of energy efficiency. Leveraging the ubiquity and versatility of Bluetooth technology, the robot establishes a reliable communication link with a mobile application for remote control and monitoring. This research contributes to the advancement of sustainable farming practices by providing a cost-effective and user-friendly solution for weed management in agriculture.

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