Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Armaghan Kosari-Moghaddam"'
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 4, Pp 500-510 (2020)
The grain moisture content at harvest time is a key factor that limits harvesting windows. The present study aimed to develop a new methodology to predict wheat moisture content by using multi-layer perceptron (MLP) and support vector regression (SVR
Externí odkaz:
https://doaj.org/article/6ac2642b417d4eff9b569487c7f5dcd8
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 1, Pp 30-40 (2020)
Mathematical modeling of economic indices is a challenging topic in crop production systems. The present study aimed to model the economic indices of mechanized and semi-mechanized rainfed wheat production systems using various multiple linear regres
Externí odkaz:
https://doaj.org/article/bde4cf76139640f5acbbf2fc0cc5a8ca
Publikováno v:
International Journal of Agricultural Management and Development, Vol 9, Iss 2, Pp 119-133 (2019)
The aim of this study was to determine the probability of working days (PWD) for tillage operation using weather data with Multiple Linear Regression (MLR) and Radial Basis Function (RBF) artificial networks. In both models, seven variables were cons
Externí odkaz:
https://doaj.org/article/384555a3db07487ca93c0ea10fcc44d1
Publikováno v:
Research in Agricultural Engineering, Vol 64, Iss 4, Pp 187-194 (2018)
A simulation model was developed for secondary tillage and sowing operations in autumn, using discrete event simulation technique in Arena® simulation software (Version 14). Eight machinery sets were evaluated on a 50-hectare farm. Total costs inclu
Externí odkaz:
https://doaj.org/article/6224592cdd024a3d9b87108ee28c8d4c
Autor:
Mohammad Reza Asgharipour, Mohammad Hossein Aghkhani, Armaghan Kosari-Moghaddam, Mohammad Hossein Abbaspour-Fard, Ali Hassnain Khan Khichi, Sherwin Amini, Abbas Rohani
Publikováno v:
Energy, Ecology and Environment. 7:154-172
Concerns about the growing trend of population and limited resources resulted in valuing sustainability and enhancing production. Discussion about new developments, environment, and productions cannot be complete without the sustainability model. Eme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63396f8a5dcc6fabf6c6bc6571380fd9
https://doi.org/10.1007/s40974-021-00233-2
https://doi.org/10.1007/s40974-021-00233-2
Autor:
Armaghan Kosari-Moghaddam, Maryam Naghipour Zade, Abbas Rohani, K H Behzad, Mohammad Hossein Aghkhani
Publikováno v:
International Journal of Food Engineering. 17:827-836
The purity is accounted for one of the main characteristics of sugar beet juice in the sugar production process. In this regard, in the paper, the impact of slicing parameters including blade type, slicing angle from 0 to 90°, slicing thickness from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::800d47d53952647045f2cdf3ec7535d6
https://doi.org/10.1515/ijfe-2020-0242
https://doi.org/10.1515/ijfe-2020-0242
Publikováno v:
Environment, Development and Sustainability. 24:2715-2735
This study aimed to model the relationships between input and output energies of tobacco production in northern Iran, Guilan Province, and investigate how farm size would affect the energy use indices in the agro-system. A multilayer perceptron (MLP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f6f6eed33c99bf3c370cae208ecaf73
https://doi.org/10.1007/s10668-021-01552-4
https://doi.org/10.1007/s10668-021-01552-4
Publikováno v:
Environment, Development and Sustainability. 24:2616-2639
Moving toward environmental sustainability in the fruit production systems needs accurate monitoring of the systems in terms of energy flow. In this regard, using regression models (i.e., Cobb–Douglas), Multiple Linear Regression (MLR)), and Artifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::506cf749850cda42c04dc84adbac0e27
https://doi.org/10.1007/s10668-021-01548-0
https://doi.org/10.1007/s10668-021-01548-0
Publikováno v:
Information Processing in Agriculture, Vol 7, Iss 4, Pp 500-510 (2020)
The grain moisture content at harvest time is a key factor that limits harvesting windows. The present study aimed to develop a new methodology to predict wheat moisture content by using multi-layer perceptron (MLP) and support vector regression (SVR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3eb3e815996f040b4d73d83e8f9286d
https://doi.org/10.1016/j.inpa.2020.01.003
https://doi.org/10.1016/j.inpa.2020.01.003
Publikováno v:
Environmental Progress & Sustainable Energy. 41
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1846d978206d513dd79317ea41e29a03
https://doi.org/10.1002/ep.13778
https://doi.org/10.1002/ep.13778