FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313333615> ?p ?o ?g. }

• W4313333615 endingPage "391" @default.
• W4313333615 startingPage "378" @default.
• W4313333615 abstract "To support farming year-round, a variety of smart IoT irrigation devices have recently been developed. It is crucial to forecast the soil moisture of agricultural farms so as to produce high yields since the high yields depends on the efficiency of water supply on farmlands. In smart irrigation, anytime water is needed on the farms, the smart pumps switch on to pump the required water so as to prevent the crops from drying up. The smart pumps also shut down if the farms have the ideal level of soil moisture, preventing over-flooding of the fields. Data is generated when the smart pumps are ON or OFF at any given time. Therefore, it is crucial to classify the data produced by smart IoT-enabled irrigation devices when these devices are ON or OFF. In this paper, the soil moisture, temperature, humidity, and time are used as inputs into machine learning techniques for classification. These machine learning techniques include logistic regression, random forest, support vector machine, and convolutional neural network. According to experimental findings, the accuracy of the logistic regression was 71.76%, that of the random forest was 99.98%, that of the support vector machine was 90.21%, and that of the convolutional neural network was 98.23. Based on the high accuracy that the random forest attained, it has more potential to help in assessing smart irrigation conditions (wet or dry) in an optimized manner." @default.
• W4313333615 created "2023-01-06" @default.
• W4313333615 creator A5004603491 @default.
• W4313333615 creator A5008736107 @default.
• W4313333615 creator A5049464732 @default.
• W4313333615 creator A5053371520 @default.
• W4313333615 creator A5079346069 @default.
• W4313333615 date "2022-12-31" @default.
• W4313333615 modified "2023-09-30" @default.
• W4313333615 title "Machine Learning Techniques for the Classification of IoT-Enabled Smart Irrigation Data for Agricultural Purposes" @default.
• W4313333615 cites W2039261164 @default.
• W4313333615 cites W2139978636 @default.
• W4313333615 cites W2331071973 @default.
• W4313333615 cites W2515462014 @default.
• W4313333615 cites W2618530766 @default.
• W4313333615 cites W2790861445 @default.
• W4313333615 cites W2881421195 @default.
• W4313333615 cites W2896625020 @default.
• W4313333615 cites W2903336648 @default.
• W4313333615 cites W2938601916 @default.
• W4313333615 cites W2946355494 @default.
• W4313333615 cites W2947878980 @default.
• W4313333615 cites W3006207114 @default.
• W4313333615 cites W3021880230 @default.
• W4313333615 cites W3030468140 @default.
• W4313333615 cites W3094851252 @default.
• W4313333615 cites W3159325777 @default.
• W4313333615 cites W3176193204 @default.
• W4313333615 cites W4211139801 @default.
• W4313333615 cites W4281249526 @default.
• W4313333615 cites W4281703655 @default.
• W4313333615 cites W4312610835 @default.
• W4313333615 cites W92469554 @default.
• W4313333615 doi "https://doi.org/10.54287/gujsa.1141575" @default.
• W4313333615 hasPublicationYear "2022" @default.
• W4313333615 type Work @default.
• W4313333615 citedByCount "2" @default.
• W4313333615 countsByYear W43133336152023 @default.
• W4313333615 crossrefType "journal-article" @default.
• W4313333615 hasAuthorship W4313333615A5004603491 @default.
• W4313333615 hasAuthorship W4313333615A5008736107 @default.
• W4313333615 hasAuthorship W4313333615A5049464732 @default.
• W4313333615 hasAuthorship W4313333615A5053371520 @default.
• W4313333615 hasAuthorship W4313333615A5079346069 @default.
• W4313333615 hasBestOaLocation W43133336151 @default.
• W4313333615 hasConcept C118518473 @default.
• W4313333615 hasConcept C119857082 @default.
• W4313333615 hasConcept C12267149 @default.
• W4313333615 hasConcept C127413603 @default.
• W4313333615 hasConcept C149635348 @default.
• W4313333615 hasConcept C151956035 @default.
• W4313333615 hasConcept C154945302 @default.
• W4313333615 hasConcept C15744967 @default.
• W4313333615 hasConcept C169258074 @default.
• W4313333615 hasConcept C186594467 @default.
• W4313333615 hasConcept C187320778 @default.
• W4313333615 hasConcept C18903297 @default.
• W4313333615 hasConcept C24939127 @default.
• W4313333615 hasConcept C2776544661 @default.
• W4313333615 hasConcept C39432304 @default.
• W4313333615 hasConcept C41008148 @default.
• W4313333615 hasConcept C50644808 @default.
• W4313333615 hasConcept C542102704 @default.
• W4313333615 hasConcept C81363708 @default.
• W4313333615 hasConcept C81860439 @default.
• W4313333615 hasConcept C86803240 @default.
• W4313333615 hasConcept C88463610 @default.
• W4313333615 hasConcept C88862950 @default.
• W4313333615 hasConceptScore W4313333615C118518473 @default.
• W4313333615 hasConceptScore W4313333615C119857082 @default.
• W4313333615 hasConceptScore W4313333615C12267149 @default.
• W4313333615 hasConceptScore W4313333615C127413603 @default.
• W4313333615 hasConceptScore W4313333615C149635348 @default.
• W4313333615 hasConceptScore W4313333615C151956035 @default.
• W4313333615 hasConceptScore W4313333615C154945302 @default.
• W4313333615 hasConceptScore W4313333615C15744967 @default.
• W4313333615 hasConceptScore W4313333615C169258074 @default.
• W4313333615 hasConceptScore W4313333615C186594467 @default.
• W4313333615 hasConceptScore W4313333615C187320778 @default.
• W4313333615 hasConceptScore W4313333615C18903297 @default.
• W4313333615 hasConceptScore W4313333615C24939127 @default.
• W4313333615 hasConceptScore W4313333615C2776544661 @default.
• W4313333615 hasConceptScore W4313333615C39432304 @default.
• W4313333615 hasConceptScore W4313333615C41008148 @default.
• W4313333615 hasConceptScore W4313333615C50644808 @default.
• W4313333615 hasConceptScore W4313333615C542102704 @default.
• W4313333615 hasConceptScore W4313333615C81363708 @default.
• W4313333615 hasConceptScore W4313333615C81860439 @default.
• W4313333615 hasConceptScore W4313333615C86803240 @default.
• W4313333615 hasConceptScore W4313333615C88463610 @default.
• W4313333615 hasConceptScore W4313333615C88862950 @default.
• W4313333615 hasIssue "4" @default.
• W4313333615 hasLocation W43133336151 @default.
• W4313333615 hasLocation W43133336152 @default.
• W4313333615 hasOpenAccess W4313333615 @default.
• W4313333615 hasPrimaryLocation W43133336151 @default.
• W4313333615 hasRelatedWork W2603036680 @default.
• W4313333615 hasRelatedWork W2909604128 @default.

• next