Abstract
Agricultural robots play a unique role in the development of digital agriculture and offer a variety of benefits to farming productivity. Since the first industrial robots were developed in the 1950s, both science and business have started to pay attention to robotics. Agricultural robots have rapidly evolved as a result of recent developments in computer science, sensing, and control methods, relying on a variety of cutting-edge technologies for a variety of application scenarios. In fact, combining strategies for observation, decision-making, control, and execution has resulted in considerable advancements. However, because they are not integrated with artificial intelligence, the majority of agricultural robots still require intelligence solutions, confining them to limited applications with low volume production. The authors analyse the advantages and difficulties associated with future applications in the present moment as they bring together various agricultural robot research statuses and applications.
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