Citation:
Liam Robinson, Syed Ali Fathima, "Next-Gen Autonomous Farming: Integrating Robotics and AI for Precision Agriculture" International Journal of Multidisciplinary on Science and Management, pp. 114-121, 2024.
Abstract:
Autonomous farming represents a transformative shift in agriculture, combining robotics, artificial intelligence (AI), and precision agriculture to improve productivity, sustainability, and efficiency in farming practices. The integration of AI and robotics can automate essential tasks such as planting, watering, harvesting, and pest control, thereby reducing human labor and increasing precision. In this paper, we explore the development of autonomous farming systems, focusing on the latest advancements in robotics and AI technologies. We review various approaches, including machine learning algorithms, image recognition, and sensor technologies, that enable robots to perform complex tasks autonomously. Additionally, we discuss how autonomous farming can lead to enhanced crop yields, resource management, and environmental sustainability. The impact of autonomous farming on labor dynamics, economic implications, and future trends are also examined. By providing an overview of the state-of-the-art technologies in this field, this paper aims to contribute to the understanding of how automation and AI can reshape the agricultural industry.
Keywords:
Autonomous Farming, Robotics in Agriculture, Precision Agriculture, Artificial Intelligence, Agricultural Robotics, Smart Farming, Machine Learning, Crop Management, Sustainability, IoT in Agriculture.
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