{"title":"End-Product of Solar-Sharing Smart Lighting Artificial Intelligence Driven Platform for High-Valued Crops (Lactuca Sativa) on Indoor Hydroponics Syste","authors":"Myrtel S. Bernardo, Arnel C. Fajardo, R. Medina","doi":"10.1109/ICSPC55597.2022.10001821","DOIUrl":null,"url":null,"abstract":"The solar-sharing smart lighting system Artificial Intelligence (AI) that automatically adjusts the LED lighting appropriate for indoor vertical farming specifically on high-valued crops tested on lettuce (Lactuca sativa). The concept of this study is to make a smart lighting system more economical using Arduino and power-efficient by using renewable energy like solar power and to address the Sustainable Development Goals regarding Food Security. This study aims to investigate the effects of light treatments on the growth performance in terms of weekly plant height under varying lighting control. Hence, smart LED lighting will be developed to automatically adjust the light intensity needed by the plants to grow indoor using a hydroponics system by means of Arduino and using the Internet of Things (IoT). The experimental setup consists of three treatments: (A) smart lighting, (B) smart lighting with manual setting, and (C) smart lighting with IoT settings. Additionally, it offers the light required for photosynthesis at various phases of growth. The entire system is controlled by a microcontroller, which decides when to turn on and off the LEDs and adjusts their brightness in accordance with the amount of sunlight. The system was implemented successfully, and growth performance improved.","PeriodicalId":334831,"journal":{"name":"2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 10th Conference on Systems, Process & Control (ICSPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPC55597.2022.10001821","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
The solar-sharing smart lighting system Artificial Intelligence (AI) that automatically adjusts the LED lighting appropriate for indoor vertical farming specifically on high-valued crops tested on lettuce (Lactuca sativa). The concept of this study is to make a smart lighting system more economical using Arduino and power-efficient by using renewable energy like solar power and to address the Sustainable Development Goals regarding Food Security. This study aims to investigate the effects of light treatments on the growth performance in terms of weekly plant height under varying lighting control. Hence, smart LED lighting will be developed to automatically adjust the light intensity needed by the plants to grow indoor using a hydroponics system by means of Arduino and using the Internet of Things (IoT). The experimental setup consists of three treatments: (A) smart lighting, (B) smart lighting with manual setting, and (C) smart lighting with IoT settings. Additionally, it offers the light required for photosynthesis at various phases of growth. The entire system is controlled by a microcontroller, which decides when to turn on and off the LEDs and adjusts their brightness in accordance with the amount of sunlight. The system was implemented successfully, and growth performance improved.