Jose Doumet
Automatic classification of healthy / diseased plants using multispectral images.
Rel. Maurizio Morisio, Luca Ardito. Politecnico di Torino, Corso di laurea magistrale in Communications And Computer Networks Engineering (Ingegneria Telematica E Delle Comunicazioni), 2022
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Abstract
The advancements in drone technology in recent years have led their use to be widespread for different applications, ranging from search and rescue, weather monitoring, mapping and surveying to multipurpose videography. In agriculture, one of the most prominent uses for drone imagery is for monitoring plantation health. As the size of plantations expands so follows the complexity of monitoring the health status of every single plant. This can be attributed to the fact that the traditional evaluation of plants is based on visual checks that go along possibly laboratory analyses which can prove costly in not only in terms of time but also economics terms.
This thesis carries on the Dronuts Project which proposes a software and hardware??based solution in order to provide plant classification and monitoring via remote sensing with the aim of assessing the health status of each individual plant relying on collected multispectral drone images
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