Agriculture Working Group (Workshop: Propagation of practical/advanced sensor network technologies)
Chairman : Masayuki Hirafuji, NARO, JAPAN
 Members :  Agriculture Working Group
 Objectives:  Low-cost hardware, applications and skills are indispensable to use sensor networks in agricultural fields. We will introduce practical solutions and discuss the prospects.

 Target Audience :  Communities of ICT Agriculture, Sensors Network and PROSUME .
 Expected Number of Participants :   20

Session Chair: M. Hirafuji, S. Ninomiya


Development :

#1. Smart Farm Flagship: Services Research Innovation in Agriculture - Pisuth Paiboonrat (NECTEC) REMOTE   Slides

The crisis in agriculture related society in Thailand can be classified as an aging society especially for farmers, the impact of climate variability to farm production, the competitiveness between food and energy, lack of skill labors and shrinking of farm land. The National Electronics and Computer Technology Center(NECTEC), National Science and Technology Development Agency(NSTDA) has been set up Smart Farm Flagship as a direct mandate to provide low cost technology as a common tools to solve these facing constraints. NECTEC with Embedded System Technology Lab, Thai Micro Electronics Center, Human Language Technology Lab are the main cores technologies developer to work closely with farmer cluster, Ministry of Agriculture and Cooperatives, Bank of Agriculture and Cooperatives and Geo Informatics and Spatial Technology development Agency(GISTDA). The pilot co-creation projects can be named as food traceability in rice, orchids, tilapia and sericulture, the adaptation of orchids, mango, tilapia culture and rice to climate variability, knowledge portal with ontology based for orchids, tilapia, and sericulture, and information on demand on smart phone, the use of GIS/RS with ground sensors to detect rice growth model and harvesting index in central Thailand. NECTEC is in the stage of transfer technology based to services based that will help small growers in the country to have a change to utilized new technologies and develop usage innovation to sustain food and energy production in the country.

#2. From Field-server to the IOT - Ye-Nu Wan (National Chung Hsing University)   Slides

#3. AGRI-SERVER : Real-time Agricultural Farm Monitoring System using Sensor Network - Y. Saito (Shinshu University), K. Kobayashi (Shinshu University), T. Suzuki (Nagano Prefecture Agricultural Experiment Station), M. Hirafuji (National Agriculture and Food Research Organization), T. Fukatsu (National Agriculture and Food Research Organization)   Slides

A sensing network system available in agricultural farms was developed and its long time operation over three years has been confirmed. The system is named "AGRI-SERVER". Sensing nodes placed in a grape farm, an apple farm, a chestnut farm and a paprika farm respectively, which were remotely controlled through the Internet, automatically collected image of growth of agricultural products and of working situation, and data of temperature, humidity and solar intensity, and stored them into a main server through the Internet in every 2 minutes for 24 hours. One of them offered a high-definition image using a digital single-reflex camera. All of the data could be viewed on Web in real time. Data applications to agricultural related industries, education, tourism and others are proposed and several Web contents will be introduced.

#4. Development of Web-based High-definition Image Viewer for Collecting Experienced Farmers' Knowledge - K. Kobayashi (Shinshu University), Yasunori Saito (Shinshu University), Masayuki Hirafuji (National Agriculture and Food Research Organization), Takanobu Suzuki (Nagano Prefecture Agricultural Experiment Station).   Slides

In this paper, we describe a web-based high-definition viewer to easily collect experienced farmers' knowledge. We developed a monitoring system to automatically collect high-definition crop images and a specialized Web-based image viewer for such images. Users can easily observe detailed crop images through the Internet and easily submit comments for the image such as found differences among crop statuses. We aim at the construction of agricultural knowledge data base by collecting farmers' comments to the crop images on the Web.

Keywords: monitoring system; high-definition image; e-agriculture; social network service.

#5. Ambient Sensor Cloud as A Solution of Practical Sensor Network in Agriculture - M. Hirafuji (NARO/ Univ. of Tsukuba), Hieo Yoichi (NARO), Takuji Kiura (NARO), Keiko Matsumoto (NARO), Hirohisa Nesumi (NARO), Norihiro Hoshi (NARO), Seishi Ninomiya (Univ. of Tokyo), J. Adinarayana (IITB), D. Sudharsan (IITB), Yasunori Saito (Shinshu University), Kazuki Kobayashi (Shinshu University), Takanobu Suzuki (Nagano Prefecture Agricultural Experiment Station)  Slides

Field Server can monitor fields using many sensors in real-time. Soil moisture should be measured at each site for water saving agriculture. Physiological data of plants should be measured by individual for sensor-based agriculture and fundamental investigations. To deploy sensor nodes vastly, and to propagate sensor network technologies widely, price of sensor network devices must be extremely cheap and very simple to understand. So we developed OpenFS (Open Field Server) employing open-source hardware, Arduino. Also we employed free cloud data service such as Twitter to share observed data. Concept of ambient sensor cloud system is proposed by using both OpenFS and cloud computing.


#6. FabLabs in Asian Countries - Hiro Tanaka (FabLabJapan/ Keio SFC/ MIT)   Slides

"FabLab" is an open workspace for everyone to use and make almost everything. Recent 3-D printers and various types of machines/tools prepared there enable ordinary people (end users) to invent unique devices and products. The concept of "FabLab" was created by prof. Neil Gershenfeld at MIT around 2001. Nowadays there are over 30 fablabs in more than 14 countries. "FabLab" may have social impact especially in the context of developing countries. In this talk, I would like to introduce what are happening in fablabs in Asian countries such as India, Afganistan, and Japan.

#7. Machine-to-Machine Communication for Agricultural Systems - An XML-Based Auxiliary Language to Enhance Semantic Interoperability - E. W. Schuster (MIT). REMOTE   Slides

This talk puts forth an Internet-based architecture for machine-to-machine communication and computation that enhances bio-productivity in agriculture. The approach utilizes an auxiliary language to enable data interoperability in a synthetic computing environment and to make connections between data and mathematical models. The approach also includes some aspects of cloud and context aware computing. At the prototype level, a practical application from the Florida citrus industry demonstrates the concept. In general, future agricultural systems will be Internet-based thus reducing cost and increasing capability. Standards organizations are certain to play an important role in this development, which might continue for the next decade or longer.

Keywords: Agricultural Computation, M Language, Data Interoperability, Precision Agriculture, Machine-to-Machine Communication, Internet, XML, Microsoft.NET, Azure, Cloud Computing, WordNet, Web Services, Mathematical Model, Logistics Function, Context Aware Computing.

Project & Planning

#1. Research Project - Development of decision support system for optimal agricultural production under global environment changes - S. Ninomiya (University of Tokyo)  Slides

#2. Current Report of NREN's Project - Kishor Panth (NREN)


 Remarks :  We need Videoconference facility .

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