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Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping
Research article (Agricultural Systems, 2021) · cited 80× · AI/ML
Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping
Summary
Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping is a scholarly article[1].
Key Facts
Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping. Retrieved May 24, 2026, from https://4ort.xyz/entity/coupling-geographic-information-system-integrated-fuzzy-logic-analytical-hierarchy-process-with-global-and-machine-learn
MLA“Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/coupling-geographic-information-system-integrated-fuzzy-logic-analytical-hierarchy-process-with-global-and-machine-learn.
BibTeX@misc{4ortxyz_coupling-geographic-information-system-integrated-fuzzy-logic-analytical-hierarchy-process-with-global-and-machine-learn_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping}}, year = {2026}, url = {https://4ort.xyz/entity/coupling-geographic-information-system-integrated-fuzzy-logic-analytical-hierarchy-process-with-global-and-machine-learn}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping — https://4ort.xyz/entity/coupling-geographic-information-system-integrated-fuzzy-logic-analytical-hierarchy-process-with-global-and-machine-learn (retrieved 2026-05-24)
