N. Watjanatepin, C. Boonmee, Paiboon Kiatsookkanatorn
{"title":"Semi-Plant Factory Artificial Light for Organic Vegetables Using NB-IoT","authors":"N. Watjanatepin, C. Boonmee, Paiboon Kiatsookkanatorn","doi":"10.1109/ECTI-CON58255.2023.10153252","DOIUrl":null,"url":null,"abstract":"Plant factory artificial light (PFAL) is a suitable method for growing high-quality plants and increasing crop production to a very high number per area. The major goals of this paper are to implement a NB-IoT based semi-PFAL growing system that use two types of LED array, there are RBLED and phosphor converted LED (pc-LED). Then compare the Cos-lettuce yields under various LED light sources while studying the characteristics of the artificial light spectrum. The semi-PFAL growing system, was controlled for watering, lighting and monitored system operating, temperature and humidity by a NB-IoT module with MAGELLAN platform. The results show that the Cos-lettuce grown under pc-LEDs are probably more capable of photosynthesis than those using RBLEDs. The average fresh weight of the Cos-lettuce from pc-LED significant higher than RB-LED at p<$\\theta.\\theta$5. The measurement results of environmental parameters, control of lighting and watering in semi-PFAL system, data collected from cloud system under MAGELLAN platform during 20-day of experiment, it was work accurately. The semi-PFAL growing system could be utilized to produce organic vegetables in a home or school setting.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECTI-CON58255.2023.10153252","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Plant factory artificial light (PFAL) is a suitable method for growing high-quality plants and increasing crop production to a very high number per area. The major goals of this paper are to implement a NB-IoT based semi-PFAL growing system that use two types of LED array, there are RBLED and phosphor converted LED (pc-LED). Then compare the Cos-lettuce yields under various LED light sources while studying the characteristics of the artificial light spectrum. The semi-PFAL growing system, was controlled for watering, lighting and monitored system operating, temperature and humidity by a NB-IoT module with MAGELLAN platform. The results show that the Cos-lettuce grown under pc-LEDs are probably more capable of photosynthesis than those using RBLEDs. The average fresh weight of the Cos-lettuce from pc-LED significant higher than RB-LED at p<$\theta.\theta$5. The measurement results of environmental parameters, control of lighting and watering in semi-PFAL system, data collected from cloud system under MAGELLAN platform during 20-day of experiment, it was work accurately. The semi-PFAL growing system could be utilized to produce organic vegetables in a home or school setting.