Fuzzy cognitive map based approach for predicting yield in cotton crop production as a basis for decision support system in precision agriculture application
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Fuzzy logic approaches are increasingly replacing older models in agriculture.
“Taking into account that factors affecting crop yield are so complex that even elaborate statistical methods can only give improved, but never accurate results, fuzzy logic approaches are more and more replacing older models in agriculture (Papageorgiou et al., 2011).”
From Intensify production, transform biomass to energy and novel goods and protect soils in Europe—A vision how to mobilize marginal lands (2018) · cites this paper as Papageorgiou et al., 2011
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- Authors
- Papageorgiou, E. I., Markinos, A. T., & Gemtos, T. A.
- Affiliations
- Technological Educational Institute of Central Greece (GR)
- University of Thessaly (GR)
- Corresponding author
- Papageorgiou, E.I.
- ORCID
- Papageorgiou, E.I.
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2011-06
- Volume
- 11
- Issue
- 4
- Pages
- 3643-3657
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W1971547344
- Cited by
- 157
- References
- 67
- Citations by year
- 2026: 4 · 2025: 16 · 2024: 11 · 2023: 15 · 2022: 13 · 2021: 17 · 2020: 13 · 2019: 17 · 2018: 9 · 2017: 9 · 2016: 10 · 2015: 10 · 2014: 3 · 2013: 3 · 2012: 5
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Soft Computing (publishedVersion)
- University of Thessaly Institutional Repository (University of Thessaly) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cognitive Science and Mapping
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
- Life Sciences › Agricultural and Biological Sciences › Soil Science › Agricultural Science and Fertilization
- Keywords
- fuzzy cognitive maps, cotton yield prediction, Gossypium hirsutum, precision agriculture, decision support system, crop management, soil properties, expert knowledge representation, soil nutrients
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