Published January 26, 2024 | Version v1
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Beekeeping suitability prediction based on an adaptive neuro‐fuzzy inference system and apiary level data - ANFIS-SC code and model

Authors/Creators

  • 1. Département de Géomatique Appliquée, Université de Sherbrooke

Contributors

Supervisor:

  • 1. Département de Géomatique Appliquée, Université de Sherbrooke
  • 2. Centre de recherche en sciences animales de Deschambault
  • 3. Laboratory of Energy, Signal, Imagery and Automation (LESIA), University of Ngaoundere

Description

The ANFIS-SC Matlab code and model employed in the paper "Beekeeping suitability prediction based on an adaptive neuro‐fuzzy inference system and apiary level data", submitted to Ecological Informatics (http://dx.doi.org/10.2139/ssrn.4985491).

 

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