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Convolutional Neural Network diseases detection of grapevines and UAV autonomous precision spray control.
Rel. Elisa Capello, Nicoletta Bloise, Manuel Carreno Ruiz. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022
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Abstract
Nowadays, Precision Agriculture (PA) and Digital Agriculture (DA) are becoming fundamental instruments to oppose and prevent the upcoming agricultural sector crisis due to fertile soils scarcity, climate change, famine, lack of water and demographic expansion. Conventional individuation of crops pandemic clusters and pathological status rely on manual inspection, affected by high subjectivity as well as being costly and time wasting. Furthermore, intensive spraying of Plant Protection Products (PPP) has been for decades the unique method to ensure large-scale productions, with dramatic consequences in terms of eutrophication, soil toxicity and resources wasting. The combination of automated health status detection and automated precision spray allows to increase the soil productivity, to use fertilizer and pesticides only where is needed and drastically cut down the costs.
This thesis presents an Unmanned Aerial Vehicles (UAV) implementation in disease recognition and precision aerial spraying of grapevines
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