Digital Agriculture

Abstract

Agriculture has been a sector of strategic importance throughout human history. Today, with the increasing population, climate change, and other global factors, the digitalization process in agriculture has accelerated. The digitalization of the agricultural sector aims to enhance the efficiency of resources and ensure environmental sustainability through the integration of digital technologies such as sensors, robotic systems, and artificial intelligence. This digital transformation will enable agricultural production to be carried out more easily within the modern living conditions that younger generations currently experience and will continue to experience in the future. In this process, interdisciplinary technologies such as the Internet of Things, sensor technologies, artificial intelligence, geographic information systems, and decision support mechanisms play a critical role in achieving data-driven sustainable agriculture. The integration of these technologies through digitalization will create opportunities to further increase the efficiency and sustainability of resources in agriculture. This study comprehensively discusses the concept of digital agriculture and the technologies related to this concept. With Agriculture 4.0, advanced technologies such as sensors, artificial intelligence, big data, unmanned aerial vehicles and land vehicles have been integrated into the agricultural sector. This integration process plays a critical role in ensuring precision and efficiency in agriculture. While precision agriculture offers an approach to local production optimization based on environmental factors, smart agriculture is characterized by the inclusion of information technologies in decision support processes. Digital agriculture is a broader framework that encompasses the management of all agricultural processes through digital platforms and the guidance of artificial intelligence-based robotic systems.