Session Details

Agriculture Working Group Meeting

ChairsTakuji Kiura [kiura AT affrc.go.jp]
Objectives

Currently, Agriculture Working Group focuses on creating, managing, sharing, and analyzing big data in Agriculture. AgWG must bridge researchers in APAN and other groups, GODAN, W3C, OGC, etc. those keen to develop international standers in Agriculture. Unfortunately, we miss countries, leading big data and data sciences in Agriculture in past APAN meetings. In this session we would like to discuss collaboration other groups and how to encourage less appear members and new member to attend APAN.

Target AudienceMembers of Agriculture WG
No. of Participants15
AgendaSession 1
Date: 2016-08-03
Time: 13:30 - 15:00
  • AgriBigData2016 – collaboration of France, India, and Japan - AgriBigData2016.pdf
    Takuji Kiura, J.Adranayana, Pascal Neveu, Masayuki Hirafuji, NARO, IITB, INRA

    Abstract:
    According agreement about collaboration on big data in Agriclture among France, India, and Japan, discussed during APAN39 in Fukuoka.. AgriBigData2016 was took place at INRA, Montpellier, France in July. We introduce AgriBigData2016 activity including our research progresses to extend collaboration to other members in APAN.

    Short Bio:
    Takuji Kiura is a senior researcher of Institute for Agro-Environmental Sciences, National Agriculture and Food Resarch Organization. He is chair of APAN AgWG, and co-chair of W3C Agriculture Community Group. He is interesting in interoperability of agricultural data and models. He also keens to improve network security to keep his research environment comfortable and safe.
  • Agricultural-IT developments and 4.0 in Taiwan - AgIt4Taiwan.pdf
    Ye-Nu Wan, NCHU
    [ynwan AT dragon.nchu.edu.tw]
    Abstract:
    With the aid of today’s ICT technologies, quality agriculture to properly produce products is not only monitoring the land and climate characteristics, but also to enhance the production methods to achieve environmental friendly production, providing high-quality and high market value products. Quality agriculture in Taiwan involves agricultural production, aquaculture, animal husbandry, and recreational agriculture projects, which all have their unique features. Some of the typical projects will be introduced in this presentation. For examples, utilize field sensors to measure the environment, soil and physiological parameters and network controller to automatic and remotely adjustment facilities and the environments to suit crop growth conditions. Smart sensor network system provides a better environment for livestock welfare, monitor individual animal health, produce animal feed formulation, which achieve optimal feeding and management. The traceability of transnational foodstuff has become an important issue of worldwide concern. An agricultural product traceability system has been established to provide consumers quality agriculture products with transparent production processes and inspections. Agricultural 4.0 projects has been proposed and some of which are started from this year trying to integrate sensing technologies, intelligent devices, Ag-IoT and big data analysis technologies to construct wisdom agricultural marketing and digital agricultural service systems, which the scope and content also will be introduced.

    Short Bio:
    Ye-Nu Wan is a professor, department of Bio-Industrial Mechatronics Engineering, National Chung Hsing University. He contributes APAN AgWG as a co-chair scince Feb. 2012.
  • Discussion 1. Collaboration with GODAN and W3C AgCG


  • Discussion 2. How to encourage less appear members and new members to attend APAN


  • Discussion 3. Collaboration with other WGs


  • Discussion 4. Session Proposals for APAN43


  • AgWG activity report for General Assembly - AgWG_activity_report.pdf

    Abstract:
    Make and confirm AgWG activity reports



Seating ArrangementClassroom