HYDROPONIC MONITORING SYSTEM BASED ON AND MACHINE LEARNING

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dc.contributor.authorPutra, Candra Delvano
dc.contributor.authorYulianti, Dini
dc.contributor.authorAkmala, Deni Hadiya
dc.contributor.authorAmalia, Raissa Zivana
dc.contributor.authorWibowo, Ari Purno Wahyu
dc.date.accessioned2021-02-23T03:34:30Z
dc.date.available2021-02-23T03:34:30Z
dc.date.issued2020
dc.description.abstractThe process of increasing agricultural production is currently difficult due to limited land, the large amount of land that has been converted into industrial land areas causes the land to be narrowed and the quality of the agriculture is reduced, in large areas of agricultural land there are still obstacles including the crop control system in a large area and different causes difficulty in controlling food supply and regulating water distribution, the solution to this problem is to create a planting pattern using hydroponics, where the advantages of this method of farming can produce crop production with a limited area, a large area control system can use IOT technology, this technology is connected to several sensors that can measure room temperature, planting temperature and quality condition settings in testing this technology system is able to connect to applications in the form of web based or Android platforms so that the settings and information of bi If it is easily detected and recorded by the system, data from sensors can be stored and reused if needed, the data becomes a reference for plant conditions.en_US
dc.identifier.issn0038-111X
dc.identifier.urihttp://repository.widyatama.ac.id/xmlui/handle/123456789/12801
dc.language.isoenen_US
dc.publisherSolid State Technology Volume: 63 Issue: 5en_US
dc.subjectHydroponicsen_US
dc.subjectIOTen_US
dc.subjectMachine Learningen_US
dc.titleHYDROPONIC MONITORING SYSTEM BASED ON AND MACHINE LEARNINGen_US
dc.typeArticleen_US
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