#Agv tasks agricultural robots software#

The relatively smaller size of autonomous machines, compared to conventional tractors and implements, contributes to the reduction of the soil-related issues and in particular soil erosion and soil compaction, that was provoked by large and heavy modern farm machinery. Such a system should comply with very specific requirements, such as lightweight, small size, autonomy, intelligence, communication, safety, and adaptability, to execute the potential task effectively. To build a robotic solution, an overall system analysis of the field operation should be conducted, together with a cost–benefit analysis. įield operations in agriculture are quite complex, and various issues should be addressed to allow an effective transition towards the robotics era. This has brought the increased need for autonomous tractors and robotic platforms to be used in the crop field operations, currently developed at research stage. These are, mainly, field tasks (such as sensitive fruits harvesting and intra-row weed control) that are more difficult to be executed by traditional field machinery, and human workers are employed. In crop production systems, one of the most significant issues is connected to human labour-intensive operations.

This progress, in parallel with the technological advancements and equipment in field machinery, has provided radical solutions to several challenges that modern farmers face.

#Agv tasks agricultural robots software#

Focusing on crop production, a series of optimization models and software tools have been developed so far on field-operation level. These advancements are mainly related to the minimization of operational and production costs, reduction of environmental impact and optimization of the overall production cycle. Major technological advancements in agriculture have drastically transformed several processes, both in crop and livestock production systems, during the last decades. The optimization and further development of agricultural robotics are vital, and should be evolved by producing faster processing algorithms, better communication between the robotic platforms and the implements, and advanced sensing systems. This study underlined that the most explored robotic systems were related to harvesting and weeding, while the less studied were the disease detection and seeding robots. In this paper, a systematic review of the literature has been conducted on research and commercial agricultural robotics used in crop field operations. These are the key factors for the development of agricultural robots. In crop production systems, there are field operations that are quite labour-intensive either due to their complexity or because of the fact that they are connected to sensitive plants/edible product interaction, or because of the repetitiveness they require throughout a crop production cycle.

Modern agriculture is related to a revolution that occurred in a large group of technologies (e.g., informatics, sensors, navigation) within the last decades.