Alessandro Lovesio
Design of a Neural Network development framework for plant monitoring applications.
Rel. Maurizio Martina, Danilo Demarchi, Umberto Garlando. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Elettronica (Electronic Engineering), 2021
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Abstract
This thesis is part of the promising and fast-growing technology aspect of the "agri-food" sector. With the world's population growing rapidly and climate change posing always increasing risks to farming, food production must be made more efficient and secure. Much work has already been performed in this research field, especially by the MINES Research Group of the Politecnico di Torino under "the Plant Project". The project goal is to develop a self-sustaining monitoring system to be deployed on the field so that the plants that are being cultivated can be supervised autonomously, and the farmers can be remotely provided with the health status of their crops.
This approach allows for a more efficient and timely response to negative factors affecting the plants
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