Investigating the possibility of developing rainfed cultivation of Camelina (Camelina sativa L.) in Lorestan province using fuzzy logic

Document Type : Research Paper

Author

Department of Agricultural Sciences, University of Payam-e- Noor, Iran

10.22034/saps.2023.57532.3077

Abstract

Background & Objective: The aim of this study is to examine the viability of cultivating Camelina under rainfed conditions on agricultural lands in Lorestan province.
Materials and methods: Maps of the climate (rainfall during vegetative and reproductive growth, sunshine hours, minimum, maximum and average temperature), topography (elevation, slope and aspect), and soil characteristics (pH, texture, organic matter, total nitrogen, potassium and available phosphorus) were created and incorporated into the GIS system in order to look into the feasibility of extending rainfed Camelina farming. The final maps of climate, topography, fertility, and final land zoning were created after the weighted maps were combined and determined using ANP. Based on fuzzy logic, the maps were categorized into four groups: highly susceptible, susceptible, semi-susceptible, and non-susceptible.
Result: Based on the findings, the fuzzy value of climate was between 0.50-0.85, topography 0-1, fertility 0.42-0.99 and final zoning 0.50-0.86, and their highest level was related to the susceptible (93.85%), highly susceptible (42.58%), highly susceptible (57.04%) and susceptible (84.96%) class, respectively. Among the climatic factors; average temperature (42.44%), topography; aspect (23.78%) and soil; Available phosphorus (11.89%) caused the most limitation (non-susceptible class).
Conclusion: The final result shows that Lorestan province 's agricultural lands are highly susceptible and susceptible for rainfed Camelina agriculture. Moreover, the results of this research identified the conditions of the environmental factors of each area so that decision-makers and farmers can apply their management for the optimal utilization of the resources with necessary intelligence.

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