Estimation of weeds leaf cover using image analysis and its relationship with fresh biomass yield of maize under field conditions

Ali Asif; Jens Carl Streibig; Svend Christensen; Christian Andreasen

Estimation of weeds leaf cover using image analysis and its relationship with fresh biomass yield of maize under field conditions

Ali Asif, Jens Carl Streibig, Svend Christensen, Christian Andreasen

2 Citationer (Scopus)

Abstract

In order to reduce herbicide application an intelligent sprayer boom is being developed. It only sprays with herbicides if the weed infestation exceeds a certain weed control threshold. The estimation of leaf cover of weeds through image analysis is a prerequisite for the weed management model of the intelligent sprayer boom. Destructive and human perception methods of leaf cover estimation are laborious and practically not feasible to implement in a real time system. An alternative method is developed in the image analysis program "ImageJ". The relationship between fresh biomass yield of maize and the leaf cover of weeds at the fourth and sixth leaf stages was analysed. Weeds were grown in maize under field conditions in Denmark. Chenopodium album was the most dominant species. Our data showed that yield loss was linearly related to leaf cover of weeds and may be used in the decision algorithm for the intelligent sprayer boom.

Originalsprog	Engelsk
Titel	HAICTA 2011 : 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment
Redaktører	Michail Salampasis, Aris Matopoulos
Antal sider	9
Vol/bind	1
Forlag	Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA)
Publikationsdato	2011
Sider	41-49
Status	Udgivet - 2011
Begivenhed	International Conference on Information and Communication Technologies in Agriculture, Food and Environment - Skiathos, Grækenland Varighed: 8 sep. 2011 → 11 sep. 2011 Konferencens nummer: 5

Konference

Konference	International Conference on Information and Communication Technologies in Agriculture, Food and Environment
Nummer	5
Land/Område	Grækenland
By	Skiathos
Periode	08/09/2011 → 11/09/2011

Adgang til dokumentet

http://2011.haicta.gr/

Citationsformater

Asif, A., Streibig, J. C., Christensen, S., & Andreasen, C. (2011). Estimation of weeds leaf cover using image analysis and its relationship with fresh biomass yield of maize under field conditions. I M. Salampasis, & A. Matopoulos (red.), HAICTA 2011: 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (Bind 1, s. 41-49). Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA). http://2011.haicta.gr/

Estimation of weeds leaf cover using image analysis and its relationship with fresh biomass yield of maize under field conditions. / Asif, Ali; Streibig, Jens Carl ; Christensen, Svend et al.
HAICTA 2011: 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment. red. / Michail Salampasis; Aris Matopoulos. Bind 1 Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA), 2011. s. 41-49.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning

Asif, A, Streibig, JC , Christensen, S & Andreasen, C 2011, Estimation of weeds leaf cover using image analysis and its relationship with fresh biomass yield of maize under field conditions. i M Salampasis & A Matopoulos (red), HAICTA 2011: 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment. bind 1, Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA), s. 41-49, International Conference on Information and Communication Technologies in Agriculture, Food and Environment, Skiathos, Grækenland, 08/09/2011. <http://2011.haicta.gr/>

Asif A, Streibig JC , Christensen S , Andreasen C. Estimation of weeds leaf cover using image analysis and its relationship with fresh biomass yield of maize under field conditions. I Salampasis M, Matopoulos A, red., HAICTA 2011: 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment. Bind 1. Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA). 2011. s. 41-49

Asif, Ali ; Streibig, Jens Carl ; Christensen, Svend et al. / Estimation of weeds leaf cover using image analysis and its relationship with fresh biomass yield of maize under field conditions. HAICTA 2011: 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment. red. / Michail Salampasis ; Aris Matopoulos. Bind 1 Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA), 2011. s. 41-49

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abstract = "In order to reduce herbicide application an intelligent sprayer boom is being developed. It only sprays with herbicides if the weed infestation exceeds a certain weed control threshold. The estimation of leaf cover of weeds through image analysis is a prerequisite for the weed management model of the intelligent sprayer boom. Destructive and human perception methods of leaf cover estimation are laborious and practically not feasible to implement in a real time system. An alternative method is developed in the image analysis program {"}ImageJ{"}. The relationship between fresh biomass yield of maize and the leaf cover of weeds at the fourth and sixth leaf stages was analysed. Weeds were grown in maize under field conditions in Denmark. Chenopodium album was the most dominant species. Our data showed that yield loss was linearly related to leaf cover of weeds and may be used in the decision algorithm for the intelligent sprayer boom.",

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N2 - In order to reduce herbicide application an intelligent sprayer boom is being developed. It only sprays with herbicides if the weed infestation exceeds a certain weed control threshold. The estimation of leaf cover of weeds through image analysis is a prerequisite for the weed management model of the intelligent sprayer boom. Destructive and human perception methods of leaf cover estimation are laborious and practically not feasible to implement in a real time system. An alternative method is developed in the image analysis program "ImageJ". The relationship between fresh biomass yield of maize and the leaf cover of weeds at the fourth and sixth leaf stages was analysed. Weeds were grown in maize under field conditions in Denmark. Chenopodium album was the most dominant species. Our data showed that yield loss was linearly related to leaf cover of weeds and may be used in the decision algorithm for the intelligent sprayer boom.

AB - In order to reduce herbicide application an intelligent sprayer boom is being developed. It only sprays with herbicides if the weed infestation exceeds a certain weed control threshold. The estimation of leaf cover of weeds through image analysis is a prerequisite for the weed management model of the intelligent sprayer boom. Destructive and human perception methods of leaf cover estimation are laborious and practically not feasible to implement in a real time system. An alternative method is developed in the image analysis program "ImageJ". The relationship between fresh biomass yield of maize and the leaf cover of weeds at the fourth and sixth leaf stages was analysed. Weeds were grown in maize under field conditions in Denmark. Chenopodium album was the most dominant species. Our data showed that yield loss was linearly related to leaf cover of weeds and may be used in the decision algorithm for the intelligent sprayer boom.

M3 - Article in proceedings

VL - 1

SP - 41

EP - 49

BT - HAICTA 2011

A2 - Salampasis, Michail

A2 - Matopoulos, Aris

PB - Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA)

T2 - International Conference on Information and Communication Technologies in Agriculture, Food and Environment

Y2 - 8 September 2011 through 11 September 2011

ER -

Estimation of weeds leaf cover using image analysis and its relationship with fresh biomass yield of maize under field conditions

Abstract

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