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Abozar Nasirahmadi
Abozar Nasirahmadi
Professor of Digitalization in Agricultural Engineering, SLU, Uppsala
Verified email at slu.se - Homepage
Title
Cited by
Cited by
Year
Implementation of machine vision for detecting behaviour of cattle and pigs
A Nasirahmadi, SA Edwards, B Sturm
Livestock Science 202, 25-38, 2017
2262017
Toward the next generation of digitalization in agriculture based on digital twin paradigm
A Nasirahmadi, O Hensel
Sensors 22 (2), 498, 2022
2152022
Precision irrigation management using machine learning and digital farming solutions
EA Abioye, O Hensel, TJ Esau, O Elijah, MSZ Abidin, AS Ayobami, ...
AgriEngineering 4 (1), 70-103, 2022
1922022
Deep learning and machine vision approaches for posture detection of individual pigs
A Nasirahmadi, B Sturm, S Edwards, KH Jeppsson, AC Olsson, S Müller, ...
Sensors 19 (17), 3738, 2019
1642019
Using machine vision for investigation of changes in pig group lying patterns
A Nasirahmadi, U Richter, O Hensel, S Edwards, B Sturm
Computers and Electronics in Agriculture 119, 184-190, 2015
1472015
Automatic detection of mounting behaviours among pigs using image analysis
A Nasirahmadi, O Hensel, SA Edwards, B Sturm
Computers and Electronics in Agriculture 124, 295-302, 2016
1302016
Automatic scoring of lateral and sternal lying posture in grouped pigs using image processing and Support Vector Machine
A Nasirahmadi, B Sturm, AC Olsson, KH Jeppsson, S Müller, S Edwards, ...
Computers and electronics in agriculture 156, 475-481, 2019
1122019
Effects of hot-air and hybrid hot air-microwave drying on drying kinetics and textural quality of nectarine slices
SH Miraei Ashtiani, B Sturm, A Nasirahmadi
Heat and Mass Transfer 54, 915-927, 2018
1102018
A new approach for categorizing pig lying behaviour based on a Delaunay triangulation method
A Nasirahmadi, O Hensel, SA Edwards, B Sturm
animal 11 (1), 131-139, 2017
842017
Bag-of-Feature model for sweet and bitter almond classification
A Nasirahmadi, SHM Ashtiani
Biosystems engineering 156, 51-60, 2017
602017
Using automated image analysis in pig behavioural research: Assessment of the influence of enrichment substrate provision on lying behaviour
A Nasirahmadi, SA Edwards, SM Matheson, B Sturm
Applied Animal Behaviour Science 196, 30-35, 2017
582017
A concept for application of integrated digital technologies to enhance future smart agricultural systems
G Gebresenbet, T Bosona, D Patterson, H Persson, B Fischer, ...
Smart agricultural technology 5, 100255, 2023
542023
Technology and data fusion methods to enhance site-specific crop monitoring
U Ahmad, A Nasirahmadi, O Hensel, S Marino
Agronomy 12 (3), 555, 2022
462022
Influence of moisture content, variety and parboiling on milling quality of rice grains
A Nasirahmadi, B Emadi, MH Abbaspour-Fard, H Aghagolzade
Rice Science 21 (2), 116-122, 2014
442014
Vis-NIR hyperspectral imaging along with Gaussian process regression to monitor quality attributes of apple slices during drying
A Arefi, B Sturm, G von Gersdorff, A Nasirahmadi, O Hensel
Lwt 152, 112297, 2021
372021
Sugar beet damage detection during harvesting using different convolutional neural network models
A Nasirahmadi, U Wilczek, O Hensel
Agriculture 11 (11), 1111, 2021
292021
Pecking activity detection in group-housed turkeys using acoustic data and a deep learning technique
A Nasirahmadi, J Gonzalez, B Sturm, O Hensel, U Knierim
Biosystems engineering 194, 40-48, 2020
292020
Identification of bean varieties according to color features using artificial neural network
A Nasirahmadi, N Behroozi-Khazaei
Spanish Journal of Agricultural Research 11 (3), 670-677, 2013
272013
Docking piglet tails: How much does it hurt and for how long?
P Di Giminiani, A Nasirahmadi, EM Malcolm, MC Leach, SA Edwards
Physiology & behavior 182, 69-76, 2017
242017
Modelling and analysis of compressive strength properties of parboiled paddy and milled rice
A Nasirahmadi, MA Abbaspour-Fard, B Emadi, NB Khazaei
International Agrophysics 28 (1), 2014
222014
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