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In order to enable spot application of farm inputs such as pesticide and fertilizers using general purpose boom sprayers, the sensors that detect variation of the field (mainly machine vision systems) should be integrated to the boom sprayer using its standardized ISOBUS communication protocol. During this internship, a single board computer designed by the intern to read machine vision detection results and translate them to the ISOBUS communication protocol to control nozzles individually will be evaluated. One issue in ISOBUS protocol is that the bandwidth of data transfer is limited to 250kbps. Machine vision has the tendency to process big amount of data available in images, and the objective is to evaluate the ability of the algorithm designed and embedded in the single board computer to reduce the amount of data transferred so that no loss of information will occur when sending commands to open the nozzles.
Ahmad Al-Mallahi
Hochschule Geisenheim University
Engineering
Agriculture and Food; Technology; Sustainability & the Environment
Dalhousie University
Globalink Research Award
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