QUANTIFICATION OF STRUCTURE AND QUALITY OF CHOPPED CROPS BY AN AUTOMATED IMAGE PROCESSING11This study was carried out at the Institute of Agricultural Engineering, University of Giessen, Germany

Guth, N.; Herzwurm, Georg; Bockisch, Franz-Josef

doi:10.1016/b978-0-08-042598-6.50033-3

Control Applications in Post-Harvest and Processing Technology 1995 1995

DOI: 10.1016/b978-0-08-042598-6.50033-3

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QUANTIFICATION OF STRUCTURE AND QUALITY OF CHOPPED CROPS BY AN AUTOMATED IMAGE PROCESSING11This study was carried out at the Institute of Agricultural Engineering, University of Giessen, Germany

N. Guth¹,

Georg Herzwurm²,

Franz-Josef Bockisch³

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A new methodology to appraise the physical characteristics of maize silage by image processing: effect of the ensiling process

Arvis¹,

Michalet-Doreau

Debain³

2004

J Sci Food Agric

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We present a new computer vision method for measuring the physical characteristics of maize silages based on the extraction of image textural features, namely five Haralick features, the moments of order 1 and 2 on the grey levels of the image, and a fractal parameter. To show the effectiveness of these features for characterising the physical properties of the maize silage, a trial was performed on three maize cultivars (Zea mays L, a mid-early hybrid and an early hybrid) to study the effects of the ensiling process. The features could discern effects of the ensiling process on the physical properties of the maize silage. These effects were neither significant by comparing particle size distributions, nor with chemical compositions, whereas a biological response (degradation in the rumen) to the ensiling process exists. Thus image textural features seemed to give new and interesting measurements of the physical properties of the silage, explaining the biological response better than other methods. Furthermore, the ensiling effect was not the same with all the maize types and varied with the proportion of large particles in the silages. Linear relations between features before and after the ensiling process made it possible to predict a measure on a silage knowing its value on the parent forage.

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A new methodology to appraise the physical characteristics of maize silage by image processing: effect of the ensiling process

Arvis¹,

Michalet-Doreau

Debain³

2004

J Sci Food Agric

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show abstract

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QUANTIFICATION OF STRUCTURE AND QUALITY OF CHOPPED CROPS BY AN AUTOMATED IMAGE PROCESSING11This study was carried out at the Institute of Agricultural Engineering, University of Giessen, Germany

Cited by 1 publication

References 0 publications

A new methodology to appraise the physical characteristics of maize silage by image processing: effect of the ensiling process

A new methodology to appraise the physical characteristics of maize silage by image processing: effect of the ensiling process

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