|Table of Contents|

Spatial Temporal Distribution and Prediction Model of Canopy Temperature and Humidity in Greenhouse

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2019年17
Page:
56-65
Research Field:
Publishing date:

Info

Title:
Spatial Temporal Distribution and Prediction Model of Canopy Temperature and Humidity in Greenhouse
Author(s):
LIU Qi; TANA; JIAO Wei; KANG Hongyuan; ZHAO Zhiyong
(College of Mechanical and Electrical Engineering,Inner Mongolia Agricultural University,Hohhot,Inner Mongolia 010011)
Keywords:
crop canopy; temperature and humidity; distribution; prediction model
PACS:
-
DOI:
10.11937/bfyy.20190126
Abstract:
In order to study the distribution and change situation of temperature and humidity inside the canopy area of solar greenhouse.Taking celery canopy of heat preservation solar greenhouse in Hohhot,Inner Mongolia as the research object,temperature and humidity distribution of celery canopy was measured and observed by means of sensor dense distribution.According to the similar rule of temperature and humidity in different positions of greenhouse canopy in solar greenhouse,prediction of temperature and humidity in different positions of crop canopy using Elman neural network.The results showed that the vertical temperature and humidity difference of crop canopy can reach 10.24 ℃,12.97%.During the period of illumination (curtain opening),the distribution of temperature from top to bottom,humidity from low to high,and in the period of no illumination (curtain closing) was basically opposite.The optimized Elman neural network could predict the temperature and humidity of crop canopy accurately.The model could predict the temperature and humidity of crop canopy in the coming week under the condition that the root mean square error of temperature and humidity were less than 0.8 and 1.5 respectively.This study has guiding significance for monitoring and controlling the temperature and humidity of crops canopy in solar greenhouse.

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Last Update: 2019-09-24