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Grum Gebreyesus

Aarhus University

Center for Quantitative Genetics and Genomics

Ny Munkegade

Aarhus, 8000

Denmark

SCHOLARLY PAPERS

4

DOWNLOADS

308

TOTAL CITATIONS

3

Scholarly Papers (4)

1.

Emerging technologies for fast determination of nutritional quality and safety of insects for food and feed: A review

Number of pages: 26 Posted: 13 Jan 2025
Makerere University, Makerere University School of Engineering, University of Nairobi, Makerere University School of Engineering, Makerere University, University of Nairobi, Aarhus University, Aarhus University, Makerere University School of Engineering, Makerere University and Aarhus University
Downloads 114 (621,896)
Citation 2

Abstract:

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Spectroscopy, Computer vision, Spectral imaging, Nutritional analysis, Insects for

2.

Prediction of Black Soldier Fly larval sex and Morphological traits using computer vision and deep learning

No
Number of pages: 24 Posted: 06 Jun 2024
Makerere University School of Engineering, Aarhus University, Aarhus University, Aarhus University, Makerere University School of Engineering, Makerere University School of Engineering, Makerere University and Aarhus University
Downloads 111 (635,507)
Citation 1

Abstract:

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Automated Phenotyping, Deep learning, Computer vision, Insect farming, Selective breeding, Black soldier fly (BSF)

3.

A Haplotype Reference Panel and Genotype Imputation Framework for the Black Soldier Fly (Hermetia illucens)

Number of pages: 34 Posted: 05 Dec 2025
Jomo Kenyatta University of Agriculture and Technology, Jomo Kenyatta University of Agriculture and Technology, International Centre of Insect Physiology and Ecology, International Centre of Insect Physiology and Ecology, affiliation not provided to SSRN, Aarhus University, Aarhus University and Aarhus University
Downloads 48 (1,086,013)

Abstract:

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Low coverage sequencing, genotype imputation, reference panel, single nucleotide polymorphisms, black soldier fly

4.

High-Throughput Nir-Based Phenotyping for Genomic Prediction of Feed Intake and Production Traits in Atlantic Salmon

Number of pages: 22 Posted: 14 May 2025
affiliation not provided to SSRN, Aarhus University, Nofima, Nofima, Norwegian University of Life Sciences and Norwegian University of Life Sciences
Downloads 35 (1,249,711)

Abstract:

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salmon, NIR, feed intake, phenotypic prediction, genomic validation