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Article

Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis

1
Department of Agroecology, Aarhus University, Forsøgsvej 1, Flakkebjerg, 4200 Slagese, Denmark
2
Department of Engineering, Aarhus University, Finlandsgade 22, 8200 Aarhus N, Denmark
3
Department of Agroecology, Aarhus University, Blichers Allé 20, 8830 Tjele, Denmark
*
Author to whom correspondence should be addressed.
J. Imaging 2017, 3(4), 59; https://doi.org/10.3390/jimaging3040059
Received: 22 October 2017 / Revised: 21 November 2017 / Accepted: 30 November 2017 / Published: 6 December 2017
(This article belongs to the Special Issue Remote and Proximal Sensing Applications in Agriculture)
The clover-grass ratio is an important factor in composing feed ratios for livestock. Cameras in the field allow the user to estimate the clover-grass ratio using image analysis; however, current methods assume the total dry matter is known. This paper presents the preliminary results of an image analysis method for non-destructively estimating the total dry matter of clover-grass. The presented method includes three steps: (1) classification of image illumination using a histogram of the difference in excess green and excess red; (2) segmentation of clover and grass using edge detection and morphology; and (3) estimation of total dry matter using grass coverage derived from the segmentation and climate parameters. The method was developed and evaluated on images captured in a clover-grass plot experiment during the spring growing season. The preliminary results are promising and show a high correlation between the image-based total dry matter estimate and the harvested dry matter ( R 2 = 0.93 ) with an RMSE of 210 kg ha 1 . View Full-Text
Keywords: image processing; biomass; yield; mixed-crops; non-destructive image processing; biomass; yield; mixed-crops; non-destructive
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MDPI and ACS Style

Mortensen, A.K.; Karstoft, H.; Søegaard, K.; Gislum, R.; Jørgensen, R.N. Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. J. Imaging 2017, 3, 59. https://doi.org/10.3390/jimaging3040059

AMA Style

Mortensen AK, Karstoft H, Søegaard K, Gislum R, Jørgensen RN. Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis. Journal of Imaging. 2017; 3(4):59. https://doi.org/10.3390/jimaging3040059

Chicago/Turabian Style

Mortensen, Anders K., Henrik Karstoft, Karen Søegaard, René Gislum, and Rasmus N. Jørgensen. 2017. "Preliminary Results of Clover and Grass Coverage and Total Dry Matter Estimation in Clover-Grass Crops Using Image Analysis" Journal of Imaging 3, no. 4: 59. https://doi.org/10.3390/jimaging3040059

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