An image-based decision support methodology for weed management

TY - GEN

T1 - An image-based decision support methodology for weed management

AU - Franco, Camilo

AU - Pedersen, Søren Marcus

AU - Papaharalampos, Haris

AU - Ørum, Jens Erik

PY - 2015

Y1 - 2015

N2 - The use of images in precision farming needs efficient knowledge extraction techniques, allowing the identification of relevant information for management purposes. Focusing on weed management, a weed recognition algorithm is here proposed to verify the existence of undesirable weeds. The aim of this paper is to develop a decision support methodology based on weed recognition, detecting the undesired weed from aerial images and building an image-based viewpoint. Following this viewpoint, the user can make management decisions by evaluating the current conditions of the field and selecting the appropriate technology for treating weeds.

AB - The use of images in precision farming needs efficient knowledge extraction techniques, allowing the identification of relevant information for management purposes. Focusing on weed management, a weed recognition algorithm is here proposed to verify the existence of undesirable weeds. The aim of this paper is to develop a decision support methodology based on weed recognition, detecting the undesired weed from aerial images and building an image-based viewpoint. Following this viewpoint, the user can make management decisions by evaluating the current conditions of the field and selecting the appropriate technology for treating weeds.

U2 - 10.3920/978-90-8686-814-8_74

DO - 10.3920/978-90-8686-814-8_74

M3 - Article in proceedings

SN - 978-90-8686-267-2

SP - 595

EP - 601

BT - Precision agriculture '15

A2 - Stafford, John V.

PB - Wageningen Academic Publishers

CY - The Netherlands

T2 - 10th European Conference on Precision Agriculture

Y2 - 12 July 2015 through 16 July 2015

ER -