title: Camera sensor arrangement for crop/weed detection accuracy in agronomic images.
abstract: In Precision Agriculture, images coming from camera-based sensors are commonly used for weed identification and crop line detection, either to apply specific treatments or for vehicle guidance purposes. Accuracy of identification and detection is an important issue to be addressed in image processing. There are two main types of parameters affecting the accuracy of the images, namely: (a) extrinsic, related to the sensor's positioning in the tractor; (b) intrinsic, related to the sensor specifications, such as CCD resolution, focal length or iris aperture, among others. Moreover, in agricultural applications, the uncontrolled illumination, existing in outdoor environments, is also an important factor affecting the image accuracy. This paper is exclusively focused on two main issues, always with the goal to achieve the highest image accuracy in Precision Agriculture applications, making the following two main contributions: (a) camera sensor arrangement, to adjust extrinsic parameters and (b) design of strategies for controlling the adverse illumination effects.
authors.affiliation: Department of Software Engineering and Artificial Intelligence, Faculty of Informatics, Complutense University, Madrid 28040, Spain. jromeo99@hotmail.com
authors.forename: Juan
authors.initials: J
authors.lastname: Romeo
authors.forename: José Miguel
authors.initials: JM
authors.lastname: Guerrero
authors.forename: Martín
authors.initials: M
authors.lastname: Montalvo
authors.forename: Luis
authors.initials: L
authors.lastname: Emmi
authors.forename: María
authors.initials: M
authors.lastname: Guijarro
authors.forename: Pablo
authors.initials: P
authors.lastname: Gonzalez-de-Santos
authors.forename: Gonzalo
authors.initials: G
authors.lastname: Pajares
mesh_terms: D000383:Agriculture / Q000295:instrumentation* / Q000379:methods*; D000465:Algorithms; D018556:Crops, Agricultural / Q000033:anatomy & histology*; D007091:Image Processing, Computer-Assisted; D010781:Photography / Q000295:instrumentation*; D057685:Plant Weeds / Q000033:anatomy & histology*
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