Intelligent Systems for Digitalization and Automation of Agriculture Equipment

The growing need for sustainable and effective farming methods has led to increased demand and integration of Intelligent Systems in the digitalization and automation of agricultural equipment. This review paper explores the transformative impact of the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics in the realm of smart agriculture. The synergy of these technologies not only enhances precision farming but also facilitates data-driven decision-making for optimizing resource utilization and crop management. The paper delves into both current and emerging applications of these Intelligent Systems in agriculture, emphasizing their capacity to transform conventional farming methodologies. Additionally, the review includes a comprehensive case study comparing the effectiveness of Drone-mounted pesticide spraying with traditional manual pesticide spraying methods. This comparative analysis sheds light on the operational efficiency, cost-effectiveness, and environmental impact of each approach. By evaluating the real-world implications of these technologies, the paper aims to provide valuable insights into the practical implementation and benefits of Intelligent Systems in the agricultural sector, laying the groundwork for a future in farming practices that is both technologically advanced and sustainable.