Sustainability of wheat production in Southwest Iran: A fuzzy-GIS based evaluation by ANFIS

Abstract

The sustainability of agricultural production is one of the most important issues in today’s farming. A combination of analytical hierarchy process and fuzzy modeling was used with the combination of geographical information system (GIS) to develop a reference base that evaluates sustainability of winter wheat within the Fars province, Iran. Bio-physical (soil and climatic, agronomic, and machinery), and socio-economic factors (benefit-cost ratio, farmers’ knowledge and experience) were taken into consideration in the assessments. Results showed that amongst bio-physical, soil salinity and annual precipitation were the main obstacles of the sustainable production. The total land suitability scores represent “medium” to “very high” levels of sustainability. The highest sustainability score was obtained from the socio-economic category, followed by machinery and agronomic categories. Over-fertilization and high water consumption were found as the main reasons of low agronomic sustainability. Almost all the sustainability scores were higher in the central region of the study area while the overall sustainability was “medium” in more than half of the area. The extension trainings, prevention laws and government provided credit to buy necessary farm machines are recommended to reduce fertilizer, pesticide and water consumption. The results also showed that larger farm sizes, coupled with suitable farm machinery, particularly on smaller farms are expected to enhance machinery sustainability scores. The study also concluded that ANFIS is as a capable tool to predict sustainability indices obtained from GIS. The developed ANFIS models could estimate sustainability indices with minimum errors to be amended by GIS.

Keywords

• sustainable agriculture
• wheat sustainability
• ahp
• anfis
• fuzzy modeling