Team

Dr. Abozar Nasirahmadi

Research Associate
Address Universität Kassel
Fachbereich Ökologische Agrarwissenschaften
Fachgebiet Agrartechnik
Nordbahnhofstr. 1 a
D- 37213 Witzenhausen
Room + 2160
Telephone +49 5542 98-1684
Telefax +49 5542 98-1520
Picture of Dr. Abozar  Nasirahmadi

Research Specialisations

2017 PigSys - Improving the performance of pig farming systems by applying an overall system approach [more...] (PigSys homepage)

Research interest

Machine Learning

Sound Processing

Precision Livestock Farming

Machine Vision and Image Processing

Post-harvest Computer Modeling and Optimization

Publications

Please find all publications here.

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.