International Journal of Sustainable Agricultural Management and Informatics
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International Journal of Sustainable Agricultural Management and Informatics (2 papers in press)
Inter-annual monitoring of land use land cover changes with emphasis on forest reserves under a spatial planning perspective by Stavros Sakellariou, Athanassios Sfougaris, Olga Christopoulou, Nicolas Dalezios, Fani Samara Abstract: Monitoring the inter-annual land cover evolution is considered of crucial importance at global level, since it may reveal significant changes across the Earth surface. Primary aim of the paper is to explore the spatiotemporal changes occurred in a highly touristic region which hosts a diversity of high-value natural resources (forests, coastal landscapes, croplands). To this end, a supervised land use image classification has been conducted for two years (2000, 2019) adopting the support vector machine algorithm. The outcomes of the classification have been verified by the overall accuracy (OA) index and kappa coefficient (KC). Both indices indicated high accuracy (over 80% and 0.8 respectively) of correct classification. Next, a
matrix and a map of changes were developed to provide a quantitative and qualitative perspective of land use changes. The primary changes occurred were related to the transformation of forest to cropland and vice versa, followed by a mild urban expansion (especially for touristic premises). Keywords: land use; support vector machine; image classification; change detection; kappa coefficient; remote sensing; spatial planning; Chalkidiki; Greece. DOI: 10.1504/IJSAMI.2021.10039533
Inventory system with price dependent consumption for deteriorating items with shortages under fuzzy environment by Surendra Vikram Singh Padiyar, S.R. Singh, Neha Punetha Abstract: In the changing scenario of market, inventory system have become important for all researchers and fuzzy set theory mainly deals with quantitative analysis of uncertainty and imprecision. In this paper the inventory system for deteriorating items with price sensitive demand under fuzzy logic has been developed. This system is allowed shortage which is completely backlogged. Due to uncurtaining in the market fuzzy set theory is used to deal with the imprecise data. Therefore demand rate, deterioration rate and holdings cost taken as pentagonal fuzzy numbers and graded mean representation method (GMRM) has been used to defuzzify the total inventory cost (TC) function made from this model. The purpose of this work is to minimise the total inventory cost. We have illustrated the model by numerical example along with graphical illustration and sensitivity analysis is finally depicted to understand this model based on real life scenario. Keywords: inventory; price dependent demand; deterioration; shortage; fuzzy variable; graded mean representation method; GMRM.