Beekeeping suitability prediction based on an adaptive neuro-fuzzy inference system and apiary level data

The study employs a predictive modelling approach using a fuzzy inference system to assess the beekeeping potential of a geographic area. Specifically, an adaptive neuro-fuzzy inference system with subtractive clustering (ANFIS-SC) was utilized, incorporating six input variables that influence Apis...

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Bibliographic Details
Main Authors: Guy A. Fotso Kamga, Yacine Bouroubi, Mickaël Germain, Georges Martin, Laurent Bitjoka
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Ecological Informatics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S157495412500024X
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