TY - GEN
T1 - Identification and ranking of productivity indexes of agricultural machinery (case study: Chaharmahal va Bakhtiari Province, Iran).
AU - Karimikia, Sajad
AU - Mohammadi, Mehdi
AU - Ebrahimpour, Jamshid
AU - Mali, Priyanka Rajendra
AU - Ghatrehsamani, Shirin
N1 - Publisher Copyright:
© 2024 ASABE Annual International Meeting. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Productivity identification and ranking of agricultural machinery play an important role in optimal management and proper use of available resources. Although studies have been conducted in the field of examining some indicators of the productivity of agricultural machines in general, the identification of the productivity indicators of all machines and the ranking of these indicators have been neglected. The purpose of this study was to identify and rank the productivity indicators of agricultural machinery in the horticulture and agriculture sector in Chaharmahal va Bakhtiari province in Iran, using a combined qualitative-quantitative approach, employing exploratory methods and statistical techniques. Data was collected through semi-structured interviews from 15 experienced individuals in four groups, including university professors, government agencies, farmers, and agriculturalists. The results obtained from the qualitative and quantitative parts of the research, after analyzing the qualitative data using Maxqda software, consisted of 19 core codes in the form of 6 sub-themes and 2 main themes that were confirmed by experts through fuzzy Delphi method. Finally, in the quantitative part, the influence and susceptibility of these indicators were examined using Fuzzy Danp technique, followed by prioritization.
AB - Productivity identification and ranking of agricultural machinery play an important role in optimal management and proper use of available resources. Although studies have been conducted in the field of examining some indicators of the productivity of agricultural machines in general, the identification of the productivity indicators of all machines and the ranking of these indicators have been neglected. The purpose of this study was to identify and rank the productivity indicators of agricultural machinery in the horticulture and agriculture sector in Chaharmahal va Bakhtiari province in Iran, using a combined qualitative-quantitative approach, employing exploratory methods and statistical techniques. Data was collected through semi-structured interviews from 15 experienced individuals in four groups, including university professors, government agencies, farmers, and agriculturalists. The results obtained from the qualitative and quantitative parts of the research, after analyzing the qualitative data using Maxqda software, consisted of 19 core codes in the form of 6 sub-themes and 2 main themes that were confirmed by experts through fuzzy Delphi method. Finally, in the quantitative part, the influence and susceptibility of these indicators were examined using Fuzzy Danp technique, followed by prioritization.
UR - http://www.scopus.com/inward/record.url?scp=85206074614&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85206074614&partnerID=8YFLogxK
U2 - 10.13031/aim.202400099
DO - 10.13031/aim.202400099
M3 - Conference contribution
AN - SCOPUS:85206074614
T3 - 2024 ASABE Annual International Meeting
BT - 2024 ASABE Annual International Meeting
PB - American Society of Agricultural and Biological Engineers
T2 - 2024 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2024
Y2 - 28 July 2024 through 31 July 2024
ER -