FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912674955> ?p ?o ?g. }

• W2912674955 endingPage "180" @default.
• W2912674955 startingPage "166" @default.
• W2912674955 abstract "Abstract Environmental stressors and population growth have significantly affected terraced rice ecosystems, such as in the Sapa district in northern Vietnam. The question arises how natural and socio-economic components determine the amount of rice yields. This study combines a hybrid neural-fuzzy inference system (HyFIS) with GIS-based methods to generate two models that can map suitability areas for rice cultivation at a regional scale and predict actual rice yields at a plot scale. Semi-structured interviews, the “Integrated Valuation of Ecosystem Services and Tradeoffs tool and different statistical models were used to investigate the impacts of eight environmental variables and three socio-economic variables on rice production. Subsequently, two HyFIS models were trained with an accuracy higher than 88%. Because the predictive power values of the two proposed HyFIS models were higher than those of benchmark models, they are considered as useful tools to assess and optimize land use and related rice productivity." @default.
• W2912674955 created "2019-02-21" @default.
• W2912674955 creator A5004075601 @default.
• W2912674955 creator A5009940649 @default.
• W2912674955 creator A5013545231 @default.
• W2912674955 creator A5042034584 @default.
• W2912674955 date "2019-04-01" @default.
• W2912674955 modified "2023-10-17" @default.
• W2912674955 title "Application of a hybrid neural-fuzzy inference system for mapping crop suitability areas and predicting rice yields" @default.
• W2912674955 cites W114080417 @default.
• W2912674955 cites W1649711606 @default.
• W2912674955 cites W1768257245 @default.
• W2912674955 cites W1777237837 @default.
• W2912674955 cites W1966194322 @default.
• W2912674955 cites W1972023019 @default.
• W2912674955 cites W1973104872 @default.
• W2912674955 cites W1983940379 @default.
• W2912674955 cites W1985909678 @default.
• W2912674955 cites W2007220912 @default.
• W2912674955 cites W2017176895 @default.
• W2912674955 cites W2045722367 @default.
• W2912674955 cites W2046466380 @default.
• W2912674955 cites W2047353519 @default.
• W2912674955 cites W2056161423 @default.
• W2912674955 cites W2078828715 @default.
• W2912674955 cites W2080767727 @default.
• W2912674955 cites W2085629944 @default.
• W2912674955 cites W2108484081 @default.
• W2912674955 cites W2124794051 @default.
• W2912674955 cites W2130293828 @default.
• W2912674955 cites W2130915832 @default.
• W2912674955 cites W2160275807 @default.
• W2912674955 cites W2161270333 @default.
• W2912674955 cites W2316011977 @default.
• W2912674955 cites W2328675104 @default.
• W2912674955 cites W2353795165 @default.
• W2912674955 cites W236909826 @default.
• W2912674955 cites W2557002900 @default.
• W2912674955 cites W2568187963 @default.
• W2912674955 cites W2580808806 @default.
• W2912674955 cites W2885050037 @default.
• W2912674955 cites W4238223401 @default.
• W2912674955 doi "https://doi.org/10.1016/j.envsoft.2019.01.015" @default.
• W2912674955 hasPublicationYear "2019" @default.
• W2912674955 type Work @default.
• W2912674955 sameAs 2912674955 @default.
• W2912674955 citedByCount "23" @default.
• W2912674955 countsByYear W29126749552020 @default.
• W2912674955 countsByYear W29126749552021 @default.
• W2912674955 countsByYear W29126749552022 @default.
• W2912674955 countsByYear W29126749552023 @default.
• W2912674955 crossrefType "journal-article" @default.
• W2912674955 hasAuthorship W2912674955A5004075601 @default.
• W2912674955 hasAuthorship W2912674955A5009940649 @default.
• W2912674955 hasAuthorship W2912674955A5013545231 @default.
• W2912674955 hasAuthorship W2912674955A5042034584 @default.
• W2912674955 hasConcept C127413603 @default.
• W2912674955 hasConcept C137580998 @default.
• W2912674955 hasConcept C154945302 @default.
• W2912674955 hasConcept C186108316 @default.
• W2912674955 hasConcept C195975749 @default.
• W2912674955 hasConcept C2776214188 @default.
• W2912674955 hasConcept C2986395286 @default.
• W2912674955 hasConcept C2987376176 @default.
• W2912674955 hasConcept C2988105877 @default.
• W2912674955 hasConcept C39432304 @default.
• W2912674955 hasConcept C41008148 @default.
• W2912674955 hasConcept C50644808 @default.
• W2912674955 hasConcept C58166 @default.
• W2912674955 hasConcept C6557445 @default.
• W2912674955 hasConcept C86803240 @default.
• W2912674955 hasConcept C88463610 @default.
• W2912674955 hasConceptScore W2912674955C127413603 @default.
• W2912674955 hasConceptScore W2912674955C137580998 @default.
• W2912674955 hasConceptScore W2912674955C154945302 @default.
• W2912674955 hasConceptScore W2912674955C186108316 @default.
• W2912674955 hasConceptScore W2912674955C195975749 @default.
• W2912674955 hasConceptScore W2912674955C2776214188 @default.
• W2912674955 hasConceptScore W2912674955C2986395286 @default.
• W2912674955 hasConceptScore W2912674955C2987376176 @default.
• W2912674955 hasConceptScore W2912674955C2988105877 @default.
• W2912674955 hasConceptScore W2912674955C39432304 @default.
• W2912674955 hasConceptScore W2912674955C41008148 @default.
• W2912674955 hasConceptScore W2912674955C50644808 @default.
• W2912674955 hasConceptScore W2912674955C58166 @default.
• W2912674955 hasConceptScore W2912674955C6557445 @default.
• W2912674955 hasConceptScore W2912674955C86803240 @default.
• W2912674955 hasConceptScore W2912674955C88463610 @default.
• W2912674955 hasLocation W29126749551 @default.
• W2912674955 hasOpenAccess W2912674955 @default.
• W2912674955 hasPrimaryLocation W29126749551 @default.
• W2912674955 hasRelatedWork W1496749591 @default.
• W2912674955 hasRelatedWork W2065538703 @default.
• W2912674955 hasRelatedWork W2091885912 @default.
• W2912674955 hasRelatedWork W2124491627 @default.
• W2912674955 hasRelatedWork W2218676812 @default.
• W2912674955 hasRelatedWork W2364476030 @default.
• W2912674955 hasRelatedWork W2391286742 @default.

• next