- Welcome Message
- Schedule
- Social Program
- Overview
- Apply Here
- Announcement
- Registration Information
- On-line Registration
- List of Registrants
- Accommodation
- Venue Information
- Transportation Information
- Travel Information
- Visa Information
- Useful Information
- APAN36 Proceedings
- Network Research

Home > Program > Session > Agriculture WG
Sensor Network and Agriculture Working Groups Joint Session - ICDT & Phonomics - (Room 102)
Chairman : Takuji Kiura
Yuuichi Teranishi
Eui-Nam Huh
Pisuth Paiboonrat
J Adiranayana
Yenu Wan
Members : Sensor Network Working Group and Agriculture Working Group
Objectives : Agriculture is strongly affected by "Climate Change". Information Communication, Dissemination Technologies (ICDT) may be useful for mitigation and adaptation against it. New varieties of crops are big effects on adaptation and "Genomic Breeding" is a main stream. Unfortunately, measuring phenotypes is time consuming work and shortage of phenotypic data is a big issue of "Genomic Breeding". Agriculture Working Group proposes this workshop to start discussion with crop breeders, how to use ICDT in Phenomics in cropping fileds, ie. Field Phonomics.
Target Audience : Researchers, Officers, and others interested in Information, Communication, and Dissemination Technologies (ICDT) in Agriculture, Plant Breeding and Sensor Network Technologies.
Expected Number of Participants : 30
Agenda : Session 01 (11:00 -12:30)
Session chair:
Prof. Seishi Ninomiya (U. Tokyo), Takuji Kiura, Yuuichi Teranish
  1. (Invited) Hiroyoshi Iwata (Dept. Agr. Env. Biol., Grad. Sch. Agr. Life Sci., U. Tokyo), (30 Min)
    High-throughput phenotyping will boost the genetic improvement of crop plants - Slides

    A cutting-edge breeding method, "genomic selection", is expected to accelerate the rate of improvement of crop genetic potential. High-throughput genomics technologies enable us to use new breeding methods such as genomic selection. While genomics technologies are making rapid progress in throughput and cost efficiencies, technologies for measuring plant phenotypes, i.e., "phenotyping", remain inefficient. Phenotyping is now the most time-consuming and error-prone step in plant breeding. To measure plant phenotypes with high efficiency and accuracy, various types of systems come into use in plant breeding programs. There is, however, plenty of room for improvement in these systems. For the improvement, it is necessary to merge technologies from various research fields. High-throughput phenotyping systems lead to efficient and accurate data collection and will enhance the potential of new breeding methods using genomics technologies.

  2. Yuuichi Teranishi (NICT, SNWG), (30 min.)
    JOSE: Japan-wide orchestrated sensor testbed for future smart society/agriculture - Slides

    In this presentation, a testbed called JOSE, which is a testbed for smart ICT services that utilizes wide area wireless sensor networks and distributed data centers is introduced. The wireless sensor networks and data centers are connected via wide-area SDN. The smart ICT services means such as smart agliculture, smart buildings, smart structure, smart cities, etc., that are intelligent and effective ICT services on the basis of real-time situation of the real-world.

  3. Masayuki Hirafuji (NARO, AgWG), (20 min.)
    Comprehensive Data Collection by Sensor Network and Optical Sensor for Agricultural Big Data - Slides
Session 02 (14:00 - 15:30)
Session Chair:
Takuji Kiura
  1. Kiyoshi Honda (Chubu Univ., AgWG, remote presentation ) (30 min.)
    Application of cloud based sensor data infrastructure for agricultural information service in Hokkaido Japan - Slides

  2. Apichon Witayangkurn (U. Tokyo, AgWG remote presentation)
    The Design of Enterprise Sensor Network for Real-time, Large-scale and Massive Sensor - Slides

  3. Pisuth Paiboonrat (NECTEC, NSTDA), (20 min.)
    How Services Innovation in Agriculture can support the understanding and action in the mitigation of climate variability?

  4. Dr A Paventhan (ERNET, SNWG) (Remote Presentasion), (30 min.)
    Internet of Things (IoT) based approach to Agriculture Monitoring - Slides

    Current networking technologies are optimized for human-to-human interactions rather than machine-to-machine (M2M) communications. The idea of Internet of Things (IoT) has the potential to enable seamless integration of devices (things) into the Internet infrastructure.

    IETF 6LoWPAN specifies network layer adaptation of IPv6 protocol to the LoWPAN networks. The Constrained Application Protocol (CoAP) is emerging as the open application layer protocol designed to support resource constrained machine-to-machine (M2M) application environment. CoAP supports basic HTTP methods enabling easy integration with the existing Web. An approach to using CoAP for agriculture monitoring will be presented. Application requirements, agriculture sensor integration to Wireless Sensor Networks and how CoAP can be utilized for realtime agriculture monitoring over the Web will be discussed.

Session 03 (16:00 - 17:30)
Session Chair:
Yuuichi Teranish
  1. Guo Wai and Seishi Ninomiya (U-Tokyo, AgWG), (20 min.)
    Robust segmentation of crops under natural light condition

    Though a plenty of crop images have been being acquired by a large number of field sensors, few of them have been effectively utilized. Those images can be highly informative once crop characteristics are extracted. Particularly, we can expect that frequently taken time-series images will provide us totally new information which was not available from a single point observation.

    The first step to utilize those images is to accurately segment only crop part from background in the images. Many of the formerly proposed methods were not successful in properly extracting only crop from the RGB images taken under natural light condition where the illumination varies resulting in lighted and showed parts on crops.

    In this study, we propose a robust and scalable method to extract vegetation from the plant images taken under natural light conditions. The method is based on a machine learning process, decision tree and an image noise reduction filter. The proposed method performs better than previous methods particularly under sunny condition. The proposed method is also advantageous as it doesn't require thresholding for each image.

  2. Takuji Kiura and Kei Tanaka (NARO, AgWG), (15 min)
    Decision Support for Rice Production under climatic changes in Hokuriku, Japan - Slides

    Decision Support System are developing using Rice Model (Japonica) and Downscaled Meteorological Data in Hoiuriku region, Japan. One of significant feature of this system is quality estimation of rice under high temperature. Therefor it might be useful to estimate impact of climate change.

Ag WG and Sensor Network WG Group Meeting (Teranishi, Kiura) (30 min)
  1. Announce: SN and Ag WG new Chair and Co-chairs
  2. Disscussion: Session Titles for APAN 37th
    1. GRENE-ei CAAM session
  3. misc.
Remarks : Videoconferencing facilities required.
Seating arrangement: Classroom style.