Articles

DEVELOPMENT OF REMOTE MONITORING SYSTEM FOR SURVEYING OF THE STATUS OF FARMERS’ GREENHOUSE MANAGEMENT

Article number
761_83
Pages
597 – 602
Language
English
Abstract
This study was conducted to develop a remote monitoring system for surveying farmer’s greenhouse management.
The remote monitoring system consisted of a database, a web-server, a main control unit (MCU) and several sensors (internal and external air temperature, internal relative humidity, internal soil temperature, internal and external solar radiation). The main controller has a CDMA modem, so it notifies the greenhouse status as well as emergency to farmers, and sends data to the database server at NHRI. The greenhouse status and emergency alarm can be sent to farmers by SMS message or ARS voice mail.
The data obtained from the sensors can be sent to the server through a mobile communication company every 10 minutes and be built as a database.
Database will be up-loaded onto the homepage and the homepage will provide the monitored environmental data and statistic data to farmers.
Farmers can identify their greenhouse environments on the internet homepage.
This system was installed in 100 farms (50 cucumber and tomato farms, respectively) all over Korea.
As the survey of a factor which makes a difference in yield between high 10% and low 10% farms, the amount of internal solar radiation was most different.
To estimate tomato and cucumber yield for overall farmers, we analyzed the relationship between yield and farmers’ greenhouse environments using the panel regression analysis considering farm-specific effects.
In tomato, the coefficient of determinant was about 0.51, and average soil temperature and internal temperature 2 weeks ago were most influencing yields.
In cucumber, the coefficient of determinant was about 0.48, and internal temperature 2 weeks ago and external temperature were most influencing yields.
But the relationship between yield and farmers’ greenhouse environments was not so clear.

Publication
Authors
I.H. Yu, Y.I. Nam, M.W. Cho, M.Y. Roh, J.H. Lee
Keywords
greenhouse, regression analysis, remote monitoring system, web-server, yield
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