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Authors: Christoffer Bøgelund Rasmussen 1 ; Kristian Kirk 2 and Thomas B. Moeslund 1

Affiliations: 1 Visual Analysis and Perception Lab, Aalborg University, Rendsburggade 14, 9000 Aalborg, Denmark ; 2 CLAAS E-Systems, Møllevej 11, 2990 Nivå, Denmark

Keyword(s): Object Recognition, Convolutional Neural Networks, Region Proposal Network, Kernel Fragmentation, Whole Plant Corn Silage.

Abstract: In this paper we present a method for efficiently measuring the particle size distribution of whole plant corn silage with a sieving-based network. Our network, SieveNet, learns to predict the size class of predefined sieves for kernel fragments through a novel sieve-based anchor matching algorithm during training. SieveNet improves inference timings by 40% compared to previous approaches that are based on two-stage recognition networks. Additionally, an estimated Corn Silage Processing score from the network predictions show strong correlations of up to 0.93 r2 against physically sieved samples, improving correlation results by a number of percentage points compared to previous approaches.

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Paper citation in several formats:
Rasmussen, C.; Kirk, K. and Moeslund, T. (2022). SieveNet: Estimating the Particle Size Distribution of Kernel Fragments in Whole Plant Corn Silage. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP; ISBN 978-989-758-555-5; ISSN 2184-4321, SciTePress, pages 117-124. DOI: 10.5220/0010821200003124

@conference{visapp22,
author={Christoffer Bøgelund Rasmussen. and Kristian Kirk. and Thomas B. Moeslund.},
title={SieveNet: Estimating the Particle Size Distribution of Kernel Fragments in Whole Plant Corn Silage},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP},
year={2022},
pages={117-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010821200003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 5: VISAPP
TI - SieveNet: Estimating the Particle Size Distribution of Kernel Fragments in Whole Plant Corn Silage
SN - 978-989-758-555-5
IS - 2184-4321
AU - Rasmussen, C.
AU - Kirk, K.
AU - Moeslund, T.
PY - 2022
SP - 117
EP - 124
DO - 10.5220/0010821200003124
PB - SciTePress

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