|Table of Contents|

Study on Greenhouse Environment and Growth Situation Model of Leaf Vegetables

《北方园艺》[ISSN:1001-0009/CN:23-1247/S]

Issue:
2020年17
Page:
137-144
Research Field:
Publishing date:

Info

Title:
Study on Greenhouse Environment and Growth Situation Model of Leaf Vegetables
Author(s):
ZHAO Yawei; YU Yang; YIN Feihe; FENG Yingbin
(College of Automation and Electrical,Shenyang Ligong University,Shenyang,Liaoning 110059)
Keywords:
greenhouse environment; leaf vegetables; greenhouse planting model; BP neural network
PACS:
-
DOI:
10.11937/bfyy.20194858
Abstract:
The research of greenhouse planting environment model provided theoretical support for greenhouse planting.An intelligent plant growing box was designed by using automatic detection technology.The planting box was integrated with temperature and humidity sensors,carbon dioxide sensors,light sensors,LED supplementary light lamps,soil culture boxes,data acquisition circuits and other equipment.Several groups of vegetable planting experiments under different environmental conditions were carried out inside the planting box.Environmental data such as temperature,humidity and light intensity were recorded in real time.Leaf area of vegetables was collected by tracing weighing method.BP neural network was used to build a model of plant growth environment data and plant growth characteristic leaf area.Finally,the neural network was trained by using the data obtained from planting experiments.The experimental results showed that the greenhouse planting model was constructed by BP neural network with experimental data,and the model could predict vegetable growth according to greenhouse environmental conditions.This study could provide reference for greenhouse plant cultivation.

References:

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Last Update: 2020-12-01