id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_7yvewrusbbecrkx57q2e6veq4q	J.M. Guerrero	Automatic expert system based on images for accuracy crop row detection in maize fields	2013	9	.pdf	application/pdf	10107	1109	77	Automatic expert system based on images for accuracy crop row detection in maize fields Automatic expert system based on images for accuracy crop row detection This paper proposes an automatic expert system for accuracy crop row detection in maize fields based on An important issue related with the application of machine vision methods is that concerning the crop row and weed detection, On the other hand the discrimination of crops and weeds in the image is a very difficult task because their Red, Green and Blue spectral components display similar values. Knowledge and requirements are mapped as follows to build the architecture of the proposed automatic expert system for the accuracy crop row detection based on images. Based on the above considerations, we select the Theil-Sen estimator as proposed in Massart (1997), because of its statistical efficiency and its robustness, even for low image resolutions, resulting 	./cache/work_7yvewrusbbecrkx57q2e6veq4q.pdf	./txt/work_7yvewrusbbecrkx57q2e6veq4q.txt