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Ecological Modelling of Pollinator-Friendly Agricultural Practices Using Fuzzy Logic |
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PP: 997-1012 |
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doi:10.18576/amis/190503
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Author(s) |
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Suleiman Ibrahim Mohammad,
N. Yogeesh,
N. Raja,
F.T.Z. Jabeen,
P. William,
Asokan Vasudevan,
Badrea Al Qraini,
Mohammad Faleh Ahmmad Hunitie,
Nawaf Alshdaifat,
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Abstract |
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| Digital Nature–the digital analogy of natural bioscopes–has become the focus of growing interest in ecological research in recent years due to its ability to model complex environmental system dynamics and inform conservation strategy. However, uncertainties and complexities that are intrinsic to ecological processes create difficulties to properly model and assess habitat suitability in Digital Nature. All we can do is to model the nature and if we can, add uncertainties, but we can solve these uncertainties in a way by using fuzzy logic and this paper provides a representation of this so-called Digital Nature. In this analysis, we presented a case study to show how fuzzy logic can be applied in order to model of ecological process and assesses habitat suitability of target species. Fuzzy membership functions, fuzzy rules, and fuzzy inference systems were developed to provide information about the uncertainties related to ecological variables. The results of the case study show the effectiveness of the fuzzy logic-based method in addressing uncertainties and delivering more nuanced and intelligible outcomes in habitat suitability assessment. This study adds to the increasing body of knowledge associated with Digital Nature and the use of fuzzy logic for ecological simulation practices and informs conservation planning and decision-making in virtual environments. Additional studies are suggested to enhance the utility of fuzzy logic across various Digital Nature applications and to develop a more suited method to its ecosystem.
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