Semi-Plant Factory Artificial Light for Organic Vegetables Using NB-IoT

N. Watjanatepin, C. Boonmee, Paiboon Kiatsookkanatorn
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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$5. The measurement results of environmental parameters, control of lighting and watering in semi-PFAL system, data collected from cloud system under MAGELLAN platform during 20-day of experiment, it was work accurately. The semi-PFAL growing system could be utilized to produce organic vegetables in a home or school setting.
基于NB-IoT的有机蔬菜半植物工厂人工光
植物工厂人工光(PFAL)是一种适合种植优质植物和提高作物产量的方法。本文的主要目标是实现基于NB-IoT的半pfal生长系统,该系统使用两种类型的LED阵列,即RBLED和荧光粉转换LED (pc-LED)。然后比较了不同LED光源下的莴苣产量,同时研究了人工光谱的特性。该半pfal生长系统通过带有MAGELLAN平台的NB-IoT模块进行浇水、照明控制和系统运行、温度和湿度监控。结果表明,在pc- led下生长的莴苣可能比在rbled下生长的莴苣具有更强的光合作用能力。pc-LED生菜的平均鲜重显著高于RB-LED生菜,p<$\theta.\theta$5。在20天的实验中,对半pfal系统的环境参数、光照和浇水控制的测量结果,以及在MAGELLAN平台上采集的云系统数据进行了准确的测量。半pfal种植系统可用于在家庭或学校环境中生产有机蔬菜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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