Application of classic and soft computing for modeling yield and environmental final impact in vegetable production (a case study: transplanting onion in Isfahan province, Iran)

Autor: Behzad Elhami, Mahmoud Ghasemi Nejad Raeini, Morteza Taki, Afshin Marzban, Mohsen Heidarisoltanabadi
Rok vydání: 2022
Předmět:
Zdroj: Environmental Science and Pollution Research. 29:35314-35337
ISSN: 1614-7499
0944-1344
DOI: 10.1007/s11356-022-18700-6
Popis: 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 (soft computing). Required data were collected through direct measurement and questionnaire. To this end, 85 and 70 questionnaires were distributed among onion farmers in Fereydan and Falavarjan regions (Isfahan province, center of Iran), respectively. In the Fereydan region, the total energy input, onion yield, and water use efficiency (WUE) were obtained as 239496 MJ.ha
Databáze: OpenAIRE
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