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 Citations (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.

Original language	English
Title of host publication	HAICTA 2011 : 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment
Editors	Michail Salampasis, Aris Matopoulos
Number of pages	9
Volume	1
Publisher	Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA)
Publication date	2011
Pages	41-49
Publication status	Published - 2011
Event	International Conference on Information and Communication Technologies in Agriculture, Food and Environment - Skiathos, Greece Duration: 8 Sept 2011 → 11 Sept 2011 Conference number: 5

Conference

Conference	International Conference on Information and Communication Technologies in Agriculture, Food and Environment
Number	5
Country/Territory	Greece
City	Skiathos
Period	08/09/2011 → 11/09/2011

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Cite this

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. In M. Salampasis, & A. Matopoulos (Eds.), HAICTA 2011: 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (Vol. 1, pp. 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. ed. / Michail Salampasis; Aris Matopoulos. Vol. 1 Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA), 2011. p. 41-49.

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

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. in M Salampasis & A Matopoulos (eds), HAICTA 2011: 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment. vol. 1, Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA), pp. 41-49, International Conference on Information and Communication Technologies in Agriculture, Food and Environment, Skiathos, Greece, 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. In Salampasis M, Matopoulos A, editors, HAICTA 2011: 5th International Conference on Information and Communication Technologies in Agriculture, Food and Environment. Vol. 1. Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA). 2011. p. 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. editor / Michail Salampasis ; Aris Matopoulos. Vol. 1 Hellenic Association of Information and Communication Technology in Agriculture, Food and Environment (HAICTA), 2011. pp. 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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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

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SP - 41

EP - 49

BT - HAICTA 2011

A2 - Salampasis, Michail

A2 - Matopoulos, Aris

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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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