Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production.

Nabavi-Pelesaraei, Ashkan; Rafiee, Shahin; Mohtasebi, Seyed Saeid; Hosseinzadeh-Bandbafha, Homa; Chau, Kwok-Wing.

Afiliação

Nabavi-Pelesaraei A; Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran. Electronic address: ashkan.nabavi@yahoo.com.
Rafiee S; Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran. Electronic address: shahinrafiee@ut.ac.ir.
Mohtasebi SS; Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran.
Hosseinzadeh-Bandbafha H; Department of Agricultural Machinery Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran.
Chau KW; Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.

Sci Total Environ ; 631-632: 1279-1294, 2018 Aug 01.

Article em En | MEDLINE | ID: mdl-29727952