Fuzzy Cognitive Map-Based Analysis for Optimizing Watermelon Production Management

Journal Title: Journal of Intelligent Management Decision - Year 2023, Vol 2, Issue 3

Abstract

This study presents an in-depth investigation of watermelon cultivation in Bangladesh, focusing on the assessment of production levels, costs, influential factors, and the application of Fuzzy Cognitive Map (FCM) technology for precision agriculture. Utilizing degree centrality and closeness centrality measures, the FCM model is employed to systematically examine the interplay among various elements involved in watermelon cultivation in Bangladesh and to elucidate the impacts of these factors on production yield. The findings contribute to the advancement of precision agriculture practices and provide valuable insights for optimizing watermelon production management in Bangladesh.

Authors and Affiliations

Sahidul Islam, Ashraful Alam, Muhammad Gulzar

Keywords

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  • EP ID EP752364
  • DOI https://doi.org/10.56578/jimd020301
  • Views 20
  • Downloads 0

How To Cite

Sahidul Islam, Ashraful Alam, Muhammad Gulzar (2023). Fuzzy Cognitive Map-Based Analysis for Optimizing Watermelon Production Management. Journal of Intelligent Management Decision, 2(3), -. https://europub.co.uk/articles/-A-752364