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─ 107 ─ DEVELOPMENT OF FIELD MONITORING AND INTELLIGENT ACTUATING SYSTEM IN AGRICULTURE ○Andri P. NUGROHO, Takashi OKAYASU 1) , Muneshi MITSUOKA 1) , Eiji INOUE 1) Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 1) Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University [Objective] Agriculture is a complex system in general and thus is strictly influenced by climate, weather, soil conditions, crop types, and so on. Various informatization agricultural supporting systems have been developed up to present base on ICT (information and communication technologies) to improve agricultural productivity and management. Authors have also tried to develop the similar system called “Agri-eye” in which a field monitoring, crop growth and quality evaluation, work recording, and online data offering and sharing sub-systems were incorporated. However, the present field monitoring device has a technical problem with data loses caused by electricity outage and a fault network connection. Low-cost monitoring device without the above mentioned problem is necessary in the field monitoring. In this study, an agricultural monitoring and intelligent actuating system based on a single board microcontroller “Arduino TM ”, was introduced to establish the improvement of the functionality of field monitoring system, i.e. offline monitoring, remote configuration and wireless sensor node communication. Its validity was verified by the feasibility test for field environmental monitoring and irrigation management. [Materials and Methods] The developed system is shown in Fig. 1. The system consists of a local and a global management system, respectively. The local system, which has a monitoring and actuating nodes, irrigation pump and pipe, network gateway, etc., is installed in the greenhouse in Kyushu University. All the sensors are installed in the analog ports on the main controller board for monitoring the environmental information such as air temperature, solar radiation, humidity and soil moisture content, etc. The power relay units to control power of facilities (a water pump for irrigation in this study) are connected to the digital ports. On the other hand, the software of the global system is built in the server, e.g. the Agri-eye system in this study. The global system has several agricultural applications and configuration setup tool for the local monitoring and actuating nodes. [Results and Discussions] Fig. 2 shows a demonstration of the measured data. Same type of sensors was directly connected to the analog port of the monitoring node. The value of each port was measured at constant interval (10 minutes) and then transmitted by using the FTP (File Transfer Protocol) as CSV formatted file to the server via the Internet. As you can see from the figure, the variation tendency of the measured values was almost same while the difference between the values would be given from the accuracies of each sensor and A/D converter of the analog port. In this prototype system we could not eliminate such kind of errors. However the precision of the node would be accepted for the application in agriculture. Other results would be shown in the conference. Fig. 1 Schematic diagram of the developed system. Fig. 2 A measurement data by the developed system.

DEVELOPMENT OF FIELD MONITORING AND INTELLIGENT … · monitoring. In this study, an agricultural monitoring and intelligent actuating system based on a single board microcontroller

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Page 1: DEVELOPMENT OF FIELD MONITORING AND INTELLIGENT … · monitoring. In this study, an agricultural monitoring and intelligent actuating system based on a single board microcontroller

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DEVELOPMENT OF FIELD MONITORING AND INTELLIGENT ACTUATING SYSTEM IN AGRICULTURE

○Andri P. NUGROHO, Takashi OKAYASU1), Muneshi MITSUOKA1), Eiji INOUE1)

Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University, 1)Department of Agro-environmental Sciences, Faculty of Agriculture, Kyushu University

[Objective]

Agriculture is a complex system in general and thus is strictly influenced by climate, weather, soil conditions, crop types, and so on. Various informatization agricultural supporting systems have been developed up to present base on ICT (information and communication technologies) to improve agricultural productivity and management. Authors have also tried to develop the similar system called “Agri-eye” in which a field monitoring, crop growth and quality evaluation, work recording, and online data offering and sharing sub-systems were incorporated. However, the present field monitoring device has a technical problem with data loses caused by electricity outage and a fault network connection. Low-cost monitoring device without the above mentioned problem is necessary in the field monitoring.

In this study, an agricultural monitoring and intelligent actuating system based on a single board microcontroller “ArduinoTM”, was introduced to establish the improvement of the functionality of field monitoring system, i.e. offline monitoring, remote configuration and wireless sensor node communication. Its validity was verified by the feasibility test for field environmental monitoring and irrigation management. [Materials and Methods]

The developed system is shown in Fig. 1. The system consists of a local and a global management system, respectively. The local system, which has a monitoring and actuating nodes, irrigation pump and pipe, network gateway, etc., is installed in the greenhouse in Kyushu University. All the sensors are installed in the analog ports on the main controller board for monitoring the environmental information such as air temperature, solar radiation, humidity and soil moisture content, etc. The power relay units to control power of facilities (a water pump for irrigation in this study) are connected to the digital ports.

On the other hand, the software of the global system is built in the server, e.g. the Agri-eye system in this study. The global system has several agricultural applications and configuration setup tool for the local monitoring and actuating nodes. [Results and Discussions]

Fig. 2 shows a demonstration of the measured

data. Same type of sensors was directly connected to the analog port of the monitoring node. The value of each port was measured at constant interval (10 minutes) and then transmitted by using the FTP (File Transfer Protocol) as CSV formatted file to the server via the Internet. As you can see from the figure, the variation tendency of the measured values was almost same while the difference between the values would be given from the accuracies of each sensor and A/D converter of the analog port. In this prototype system we could not eliminate such kind of errors. However the precision of the node would be accepted for the application in agriculture. Other results would be shown in the conference.

Fig. 1 Schematic diagram of the developed system.

Fig. 2 A measurement data by the developed system.

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p099-114.indd 107 2012/08/01 15:41:36