On-line moisture content estimation of saw dust via machine vision
نویسندگان
چکیده
منابع مشابه
prediction of paddy moisture content during thin layer drying using machine vision and artificial neural networks
the goal of this study was to predict the moisture content of paddy using machine vision and artificial neural networks (anns). the grains were dried as thin layer with air temperatures of 30, 40, 50, 60, 70, and 80°c and air velocities of 0.54, 1.18, 1.56, 2.48 and 3.27 ms-1. kinetics of l*a*b* were measured. the air temperature, air velocity, and l*a*b* values were used as ann inputs. the res...
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1 Department of Post Harvest Technology, Leibniz Institute of Agricultural Engineering Potsdam-Bornim (ATB) Max-Eyth-Allee 100, Potsdam, D-14469, Germany Tel.:+49 331 5699321 2 TEWS Elektronik, Sperberhorst 10, Hamburg, D-22459, Germany Tel. +49 405 55911-0 3 Department of Physics and Process Control, Szent Istvan University Gödöllö 2103 Gödöllö, Pater K. u. 1., Tel.: +36 28 522055, Fax: +36 28...
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ژورنال
عنوان ژورنال: Open Engineering
سال: 2020
ISSN: 2391-5439
DOI: 10.1515/eng-2020-0035