Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Behzad Elhami"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 2, Iss , Pp 13-27 (2019)
Combination of Life Cycle Assessment (LCA) and other management tools can help production units to improve economic productivity and environmental protection. In this study, a combination of LCA and Data Envelopment Analysis (DEA) was applied in orde
Externí odkaz:
https://doaj.org/article/dcf93114ea304a80a1125150e3662bb0
Publikováno v:
Information Processing in Agriculture, Vol 4, Iss 1, Pp 18-32 (2017)
In this study, an Artificial Neural Network (ANN) was applied to model yield and environmental emissions from lentil cultivation in Esfahan province of Iran. Data was gathered from lentil farmers using face to face questionnaire method during 2014–
Externí odkaz:
https://doaj.org/article/9dd4411b50fd4b2a99313b631c491af9
Publikováno v:
Information Processing in Agriculture, Vol 3, Iss 3, Pp 190-205 (2016)
Energy consumption in agricultural products and its environmental damages has increased in recent centuries. Life cycle assessment (LCA) has been introduced as a suitable tool for evaluation environmental impacts related to a product over its life cy
Externí odkaz:
https://doaj.org/article/daf216f2edef42148dabe2a80f137006
Autor:
Behzad Elhami, Mahmoud Ghasemi Nejad Raeini, Morteza Taki, Afshin Marzban, Mohsen Heidarisoltanabadi
Publikováno v:
Environmental Science and Pollution Research. 29:35314-35337
This study aimed to develop a precision model between inputs and yield, and also between inputs (indirect emissions) and environmental final index (EFI) in onion farms through regression models (classic computing) and artificial intelligence models (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55474cb452e2e6137fe1efee7bc035d4
https://doi.org/10.1007/s11356-022-18700-6
https://doi.org/10.1007/s11356-022-18700-6
Autor:
Morteza Taki, Mohsen Heidarisoltanabadi, Behzad Elhami, Mahmoud Ghasemi Nejad Raini, Afshin Marzban
Publikováno v:
Renewable Energy. 178:875-890
Nowadays, production and consumption of inputs play an important role in agri-food sectors. But applying inappropriate management of input consumption results in negative environmental repercussions and reduced economic profits. So conducting a compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3176159f7a77af4dbc3a80762f14498
https://doi.org/10.1016/j.renene.2021.06.117
https://doi.org/10.1016/j.renene.2021.06.117
Publikováno v:
Environmental Science and Pollution Research. 28:19234-19246
This study was conducted to investigate and predict the yield and environmental emissions final score (EEFS) of common carp fish farms in Shushtar county of Khuzestan province. The required data was collected from 115 carp fish farms selected by rand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5573a914e3fdcecfbb4cc48d45cb9962
https://doi.org/10.1007/s11356-020-12116-w
https://doi.org/10.1007/s11356-020-12116-w
Autor:
Behzad Elhami, Mahmoud Ghasemi Nejad Raeini, Morteza Taki, Afshin Marzban, Mohsen Heidarisoltanabadi
Publikováno v:
Environmental Progress & Sustainable Energy. 41
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::abea5ba4c24b8dafd90a9156f45c645b
https://doi.org/10.1002/ep.13889
https://doi.org/10.1002/ep.13889
Publikováno v:
Renewable Energy. 141:507-515
The present study aimed to investigate the status of energy consumption and environmental impacts in the raisin production using life cycle assessment (LCA) approach. Required data were collected from 50 grape producers in Dena county and raisin prod
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2396edf35437688fe46b860b3f31e73e
https://doi.org/10.1016/j.renene.2019.04.034
https://doi.org/10.1016/j.renene.2019.04.034
Publikováno v:
Environmental Science and Pollution Research. 24:4812-4821
Saffron is regarded as an important crop in Iranian agricultural economics that needs to be investigated to produce the environmentally friendlier product. In the present study, saffron production as an important agricultural production system in Ira
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c069aed0ae098af75d1536726fce7b8
https://doi.org/10.1007/s11356-016-8228-2
https://doi.org/10.1007/s11356-016-8228-2
Publikováno v:
Information Processing in Agriculture, Vol 4, Iss 1, Pp 18-32 (2017)
In this study, an Artificial Neural Network (ANN) was applied to model yield and environmental emissions from lentil cultivation in Esfahan province of Iran. Data was gathered from lentil farmers using face to face questionnaire method during 2014–
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f0a672176b04aa172e7cf6720455af7