利用温室活动流线型系统实现热带植物VPD的精确监测

Hernan S. Alar, Danilo C. Sabado
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引用次数: 6

摘要

热带地区的植物比干旱地区的植物需要更高的湿度。大多数温室作物喜欢相对湿度在70% ~ 80%之间[1]。然而,理想的相对湿度也取决于温度,温度高时植物需要较高的湿度,温度低时需要较低的湿度。然而,比起相对湿度,更准确地表达叶片水分流失驱动力的方法是蒸汽压差(VPD)。它的值与温度无关。VPD是空气中水分含量与空气饱和时可能保持的水分含量之间的差值。本研究的目的是监测热带低地遮蔽屋或温室的空气VPD。开发、校准和测试了一个定制的实时数据采集系统,该系统采用基于Arduino的微控制器、触摸屏面板和用于监测航空参数和土壤湿度的传感器。浇灌系统、照明控制系统、通风系统和温度传感器是温室原型的主要基本组成部分,它们带来可控因素来监测和操纵VPD,从而为整体大气提供照明和舒适。无人控制系统的有效性进行了测试和监测,以适应人工场景和维持可接受的温室气氛的过程。该样机已成功用于基于温度、湿度和相对湿度输入的VPD监测和预测。在一周检验中,对收集到的数据进行统计分析,并在任何显著水平上拒绝来自正态分布的不同均值。本研究结果可用于热带低地植物生产环境控制与维护决策支持系统数据库的进一步研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utilizing a Greenhouse Activities Streamlining System Towards Accurate VPD Monitoring for Tropical Plants
Plants from places with tropical climates need higher humidity than those native to arid regions. Most greenhouse crops prefer relative humidity between 70% and 80% [1]. However, the ideal relative humidity also depends on the temperature and plants require a higher humidity when the temperature is high and a lower humidity when it is low. Nonetheless, instead of relative humidity, the more accurate way to express the driving force of water loss from a leaf is Vapor Pressure Deficit (VPD). Its value is independent of temperature. VPD is the difference between the amount of moisture in the air and how much moisture the air could potentially hold when it is saturated. The objective of this study is to monitor air VPD in a tropical lowland shelter-house or greenhouse. A custom-designed real-time Data Acquisition system with an Arduino based microcontroller, touch screen panel and sensors for monitoring aerial parameters and soil moisture were developed, calibrated and tested. The watering system, lighting control system, ventilation and the temperature sensors are the main fundamental components of the Greenhouse prototype which bring controllable factors to monitor and manipulate the VPD, thus, giving lighting and comfort to the general atmosphere. The effectiveness of the unmanned control system were tested and monitored apropos to manual scenario and processes of maintaining an acceptable greenhouse atmosphere. The prototype was successfully used for VPD monitoring and prediction based on temperature, moisture and relative humidity inputs. In a week test, the gathered data were statistically analyzed and different means from a normal distribution were rejected at any significant level. The result of this study can be used in further studies such as decision support systems' database for controlling and maintaining tropical lowland plant production environments.
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