Assessment of Agricultural Land Suitability using Fuzzy Set Method
Assessment of Agricultural Land Suitability using Fuzzy Set Method
Naseer Ahmed Abbasi1, Mian Noor Hussain Asghar Ali1*, Bilawal Abbasi2, Shakeel Ahmed Soomro1, Najeeb Ahmed Khan Nangraj1, Jam Ghulam Mustafa Sahto1 and Sajjad Ahmed Morio1
ABSTRACT
Agriculture is the basic source of national income and food of all developing countries of the world, but land manager and farmers face the main problem when and where to cultivate. The present study was aims to analyze the efficiency of the parametric and fuzzy set methods in the land assessment for wheat production of Tando Allahyar district of Sindh Province. The present study able to provide grade performance suitability of lands for agricultural purposes; it could be more helpful for farmers of the research area. Fuzzy AHP methods could be beneficial for future studies for land suitability. The study finding have capabilities of different methods combined with fuzzy analytic hierarchy process (AHP) and the potential time and cost saving methods can assess the suitability of land. Finding shows that the fuzzy set method is different from parametric method. The influence of explicit weight on land characteristics is combined with the evaluation of land characteristics. The correlation coefficient is high for both indices, but results obtained with fuzzy set method (r=0.97) showed a higher accuracy with yields than those obtained with the parametric method (r=0.86). Furthermore, finally formed the suitability grade or suitability index. Besides a dominant suitability class, the fuzzy set method equally provides information on the degree of belonging of the land unit to each of the suitability classes discerned. The good results obtained by using the fuzzy set method are helpful further development and application of the land evaluation field.
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