An image-based decision support methodology for weed management

Camilo Franco; Søren Marcus Pedersen; Haris Papaharalampos; Jens Erik Ørum

doi:10.3920/978-90-8686-814-8_74

An image-based decision support methodology for weed management

Camilo Franco, Søren Marcus Pedersen, Haris Papaharalampos, Jens Erik Ørum

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Precision agriculture '15 : Papers presented at the 10th European Conference on Precision Agriculture
Editors	John V. Stafford
Number of pages	7
Place of Publication	The Netherlands
Publisher	Wageningen Academic Publishers
Publication date	2015
Pages	595-601
ISBN (Print)	978-90-8686-267-2
ISBN (Electronic)	978-90-8686-814-8
DOIs	https://doi.org/10.3920/978-90-8686-814-8_74
Publication status	Published - 2015
Event	10th European Conference on Precision Agriculture - Beit-Dagan, Israel Duration: 12 Jul 2015 → 16 Jul 2015

Conference

Conference	10th European Conference on Precision Agriculture
Country/Territory	Israel
City	Beit-Dagan
Period	12/07/2015 → 16/07/2015

Access to Document

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

An_image_based_decision_support_ECPA_2015Final published version, 1.24 MB

Cite this

An image-based decision support methodology for weed management. / Franco, Camilo; Pedersen, Søren Marcus; Papaharalampos, Haris et al.

Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture. ed. / John V. Stafford. The Netherlands : Wageningen Academic Publishers, 2015. p. 595-601.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Franco, C, Pedersen, SM, Papaharalampos, H & Ørum, JE 2015, An image-based decision support methodology for weed management. in JV Stafford (ed.), Precision agriculture '15: Papers presented at the 10th European Conference on Precision Agriculture. Wageningen Academic Publishers, The Netherlands, pp. 595-601, 10th European Conference on Precision Agriculture, Beit-Dagan, Israel, 12/07/2015. https://doi.org/10.3920/978-90-8686-814-8_74

@inproceedings{4091fa404b724deba6425accb1a50e9c,

title = "An image-based decision support methodology for weed management",

abstract = "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.",

author = "Camilo Franco and Pedersen, {S{\o}ren Marcus} and Haris Papaharalampos and {\O}rum, {Jens Erik}",

year = "2015",

doi = "10.3920/978-90-8686-814-8_74",

language = "English",

isbn = "978-90-8686-267-2",

pages = "595--601",

editor = "Stafford, {John V.}",

booktitle = "Precision agriculture '15",

publisher = "Wageningen Academic Publishers",

address = "Netherlands",

note = "10th European Conference on Precision Agriculture ; Conference date: 12-07-2015 Through 16-07-2015",

}

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 -

An image-based decision support methodology for weed management

Abstract

Conference

Access to Document

Fingerprint

Cite this