Team

Dr. Abozar Nasirahmadi

Leitung Maschinelles Lernen und Intelligente Systeme in der Landwirtschaft
Anschrift Universität Kassel
Fachbereich Ökologische Agrarwissenschaften
Fachgebiet Agrartechnik
Nordbahnhofstr. 1 a
D- 37213 Witzenhausen
Raum + 2160
Telefon +49 5542 98-1684
Telefax +49 5542 98-1520
Bild von Dr. Abozar  Nasirahmadi

Forschungsschwerpunkte

Machine Vision

Machine Learning

Robotics in Agriculture

Precision Livestock Farming

Computer Modelling and Optimization of Post-harvest Process

Veröffentlichungen

Alle Veröffentlichungen finden Sie hier.

Nasirahmadi A, Edwards S, Sturm B., 2017. Implementation of machine vision for detecting behaviour of cattle and pigs. Livestock Science. 202, 25-38.

Nasirahmadi A, Edwards S, Sturm B., 2017. Using automated image analysis in pig behavioural research: assessment of the influence of enrichment substrate provision on lying behaviour. Applied Animal Behaviour Science. “http://dx.doi.org/10.1016/j.applanim.2017.06.015”.

Nasirahmadi A, Hensel O, Edwards S, Sturm B., 2017. A new approach for categorizing pig lying behaviour based on a Delaunay triangulation method. Animal. 11(1), 131-139.

Nasirahmadi A, Miraei Ashtiani S-H., 2017. Bag-of-Feature model for sweet and bitter almond classification. Biosystems Engineering. 156, 51-60.

Behroozi-Khazaei N, Nasirahmadi A., 2017. A neural network based model to analyze rice parboiling process with small dataset. Journal of Food Science and Technology. “https://doi.org/10.1007/s13197-017-2701-x”.

Nasirahmadi A, Hensel O, Edwards S, Sturm B., 2016. Automatic detection of mounting behaviours among pigs using image analysis. Computers and Electronics in Agriculture. 124, 295-302.

Nasirahmadi A, Richter U, Hensel O, Edwards S, Sturm B., 2015. Using machine vision for investigation of changes in pig group lying patterns. Computers and Electronics in Agriculture. 119, 184-190.

Nasirahmadi A, Abbaspour-Fard M. H, Emadi B, Behroozi-Khazaei N., 2014. Modelling and analysis of compressive strength properties of parboiled paddy and milled rice. International Agrophysics 28(1), 78-83.

Nasirahmadi A, Emadi B , Abbaspour-Fard M. H, Aghagolzadeh H., 2014. Influence of Moisture Content, Variety and Parboiling on Milling Quality of Rice Grains. Rice Science 21(2):116–122.

Nasirahmadi A, Behroozi Khazaei N., 2013. The identification of bean varieties according to the color features using artificial neural network. Spanish Journal of Agricultural Research. 11(3), 670-677.

Nasirahmadi A, Edwards SA, Sturm B., 2016. Investigating the effect of rooting substrate provision on the group lying behaviour of pigs using machine vision. In: CIGR-AgEng Conference, Aarhus, Denmark.

Nasirahmadi A, Edwards S, Richter U, Sturm B., 2015. Automatic detection of changes in pig group lying behaviour using image analysis. In: ASABE Annual International Meeting. New Orleans, LA, USA.