AI in Agriculture: The Future of Robotic Farming and Automation

Abstract

The paper discovers the transformative character of Artificial Intelligence (AI) in recent cultivation, emphasizing its significance in addressing critical challenges and enhancing productivity. It delves into the integration of AI technologies in robotic farming, revolutionizing traditional agricultural practices and increasing efficiency. Additionally, the paper discusses the profound impact of automation on the agricultural industry, from mitigating labor shortages to meeting the increasing demand for food sustainably. Key findings include the probable of AI to augment resource use, recover decision-making, and promote maintainable farming practices. The implications highlight the necessity for continued research, investment, and adoption of AI-driven technologies to ensure the flexibility and sustainability of the agricultural sector in the appearance of global challenges.The paper aims to review various AI techniques (including fuzzy logic, artificial neural networks, genetic algorithms, etc.) in agriculture, focusing on their applications in expert systems, agricultural machines, and sensor technology. It seeks to uncover their potential impact on agriculture, particularly in cultivation, monitoring, and harvesting processes. Despite the extensive literature on AI and robotics in agriculture, there is a deficiency of comprehensive analysis comparing their applications across these key phases. [13]