Abstract
Intelligent machines and systems are critical elements for future integrated infrastructures based on human-machine interaction and information sharing. To achieve this, it is necessary to design and build a new generation of machines and systems capable of interacting as nodes of the same network. However, this revolution has the limitation of condemning all the machines already on the market to obsolescence. In this work, a retrofitting activity is reported on a tracked vehicle to make the vehicle capable of carrying out operations independently. The goal is to create a machine for agricultural applications, capable of assisting harvesting operations in mountainous areas in the presence of steep terrain, preserving the operator from any risk.
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Celenta, G., De Simone, M.C. (2020). Retrofitting Techniques for Agricultural Machines. In: Karabegović, I. (eds) New Technologies, Development and Application III. NT 2020. Lecture Notes in Networks and Systems, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-030-46817-0_44
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DOI: https://doi.org/10.1007/978-3-030-46817-0_44
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