Abozar Nasirahmadi 个人学术档案

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Barbara SturmScientific Director, Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB); Professor在 atb-potsdam.de 的电子邮件经过验证
Sandra EdwardsProfessor of Agriculture, Newcastle University在 ncl.ac.uk 的电子邮件经过验证
Anne-Charlotte OlssonSveriges lantbruksuniversitet在 slu.se 的电子邮件经过验证
Travis Esau, PhD, PEng, PAgAssociate Professor, Dalhousie University在 dal.ca 的电子邮件经过验证
Abiodun Emmanuel AbioyePrecision Agriculture Researcher在 graduate.utm.my 的电子邮件经过验证
Stephanie MathesonNewcastle University在 newcastle.ac.uk 的电子邮件经过验证
Aleksejs ZacepinsFaculty of Information Technologies, Latvia University of Life Sciences and Technologies在 llu.lv 的电子邮件经过验证
Vitalijs KomasilovsLatvia University of Life Sciences and Technologies在 llu.lv 的电子邮件经过验证
Gardis J.E. von GersdorffLeibniz Institute ATB Potsdam在 atb-potsdam.de 的电子邮件经过验证
Pierpaolo Di GiminianiResearch Associate在 newcastle.ac.uk 的电子邮件经过验证
Matthew Clifford LeachNewcastle University在 newcastle.ac.uk 的电子邮件经过验证
Stefano MarinoUniversity of Molise在 unimol.it 的电子邮件经过验证
Uzair AhmadUniversity of Florida在 ufl.edu 的电子邮件经过验证
Steve BullCookson Group Chair of Engineering Materials, Newcastle University在 ncl.ac.uk 的电子邮件经过验证
Boris KuligUniversity of Kassel, Organic Agricultural Sciences, Agricultural and Biosystems Engineering在 uni-kassel.de 的电子邮件经过验证
QUINIOUIFIP - Institut du Porc在 ifip.asso.fr 的电子邮件经过验证
Benjamin FischerUppsala University, Department of Earth Sciences, LUVAL在 geo.uu.se 的电子邮件经过验证
Faizan MajeedAgricultural and Biosystems Engineering, University of Kassel, Germany在 bzu.edu.pk 的电子邮件经过验证
Khalid AmariJulius Kühn-Institut / Institute for Biosafety in Plant Biotechnology在 julius-kuehn.de 的电子邮件经过验证
Georgios PexasUniversity of Reading在 reading.ac.uk 的电子邮件经过验证

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Abozar Nasirahmadi

Head of Machine Learning and Smart Systems, University of Kassel

在 uni-kassel.de 的电子邮件经过验证 - 首页

Artificial Intelligence Digital Agriculture Precision Livestock Farming Agricultural Robotics


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Implementation of machine vision for detecting behaviour of cattle and pigs A Nasirahmadi, SA Edwards, B Sturm Livestock Science 202, 25-38, 2017	165	2017
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	115	2015
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	106	2016
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	99	2019
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	79	2019
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	69	2018
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	67	2022
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	62	2017
Toward the next generation of digitalization in agriculture based on digital twin paradigm A Nasirahmadi, O Hensel Sensors 22 (2), 498, 2022	61	2022
Bag-of-Feature model for sweet and bitter almond classification A Nasirahmadi, SHM Ashtiani Biosystems engineering 156, 51-60, 2017	50	2017
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	46	2017
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	35	2014
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	23	2021
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	22	2017
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	21	2014
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	21	2013
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	20	2020
Technology and data fusion methods to enhance site-specific crop monitoring U Ahmad, A Nasirahmadi, O Hensel, S Marino Agronomy 12 (3), 555, 2022	17	2022
Cooling growing/finishing pigs with showers in the slatted area: Effect on animal occupation area, pen fouling and ammonia emission KH Jeppsson, AC Olsson, A Nasirahmadi Livestock Science 243, 104377, 2021	14	2021
A neural network based model to analyze rice parboiling process with small dataset N Behroozi-Khazaei, A Nasirahmadi Journal of Food Science and Technology, 1-8, 2017	13	2017

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