Angelo Tartaglia
Machine Learning Algorithms for Service Robotics Applications in Precision Agriculture.
Rel. Marcello Chiaberge. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2018
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Abstract
World population is growing faster than expected. Every year Earth resources are consumed faster, as proven by the shift back of the Earth Overshoot Day that claims the end of year resources. One of the simplest solutions to this problem would be investing in technologies and innovations towards a smart extraction of what population needs. In the last few years a lot of companies introduced automation and robots to improve production in terms of time and obviously cost. Agricultural world is not distant from this evolution; in fact many of the works attempted are now helped by a set of machines that simplifies human work.
Hitherto the application in precision agriculture has been always under the human control; there are a lot of application that sees the participation of a worker and in parallel a machine used for a lot of tasks
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