Harnessing AI for Automated Decision-Making in Farm Machinery and Operations

Automated technology has transformed agriculture by improving processes from tillage to supply chain management. This chapter provides an in-depth exploration of automated decision-making (ADM) applications within the agricultural sector, including tillage, planting, irrigation, crop selection, fertilization, pest management, harvesting, storage, and supply chain management. It begins by discussing automated technology concepts and how they enhance efficiency, productivity, and sustainability in farming practices. Real-world examples and case studies demonstrate successful ADM implementations, showing how it is applied and its results. It also discusses challenges and future directions in adopting automated technology in agriculture, such as scalability, data privacy, regulatory frameworks, and insights for stakeholders. The chapter aims to assist farmers, agronomists, policymakers, and industry professionals in utilizing automated technology for innovation, enhancing agricultural processes, and tackling global food security challenges in modern agriculture.