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Data-Driven Agriculture in the Asian and Pacific Region – To Ensure Productivity and Sustainability

Rationale

To "leave no one behind" from sustainable development, there is a need to improve the livelihood of smallholder farmers in the Asian and Pacific region by accelerating the transition from labor-intensive to data-driven agriculture. The rapid advancement of digital technologies into agriculture is expected to transform the entire food value chain and construct an optimal production system that can improve productivity and reduce negative environmental impact. To this end, countries in the Asian and Pacific region need to share and exchange information on smart agricultural technology development which they are working on to foster a shared awareness of the latest technologies and then explore ways to strengthen linkages and collaboration.

This symposium presents a wide range of ICTs in agriculture, from R&D results to practical techniques. The discussion will be conducted on measures for regional cooperation considering the characteristics in the Asia Monsoon region and on standardizations of the technology focusing on the next-generation environmental sensing, the utilization of artificial intelligence, and the construction of a data platform. It also discusses the challenges for balancing productivity and sustainability based on smart agricultural technologies.
The symposium also aims to build a platform in the Asian and Pacific region for smart agriculture technology development and further accelerate Sustainable Development Goals (SDGs).

Objectives

  • To exchange knowledge and experiences of R&D for establishing and accelerating the data-driven agriculture system.
  • To increase public awareness on R&D for establishing and accelerating the data-driven agriculture system.
  • To strengthen international cooperation by encouraging and promoting new international cooperative researches on the data-driven agriculture system.  

Themes

  • Exchange and sharing of novel smart agricultural technologies contributing to the data-driven agriculture using agri-informatics.
  • The symposium consists of three sessions:
    • Session 1: Application of Next-Generation Technologies for Environmental Sensing
    • Session 2: Application of artificial intelligence for agriculture (e.g. image analysis and application of mathematical model etc.)
    • Session 3: Construction and practical use of data platform

Participants

The symposium had over 900 registrants. The participants came mainly from Japan (349), the Philippines (202), Malaysia (84), Thailand (53), Taiwan (48), Vietnam (44) and Indonesia (31), and a few from America (5), Africa (11), and Europe (6). About 65% of those belong to the public sector while 25% are from the private sector. The symposium was only open to registered participants on the Cisco Webex platform. Symposium papers and PPT presentations will be shared later on the FFTC official website for dissemination to the general public.

Program highlights

Eleven experts from six countries (Indonesia, Japan, Korea, Philippines, Taiwan, Thailand), shared their experiences in wide scopes covering various applications of AI, UAVs, IoTs, and data platforms. Two keynote speeches and three session topics related to the Internet of Thing (IoT) and its application were highlighted respectively in the workshop sessions:

Keynote

Keynote 1, Dr. KONDO Naoshi, Kyoto University, Japan, integrate fluorescent light sources to strengthen the agri-product quality and improve the food safety from farm to table. Keynote 2, Dr. Ming-Der Yang, National Chung Hsing University, Taiwan, compared the benefit and disadvantages of UAV image-based application, and emphasized the role of UAV as a decision supporting system in precision agriculture.

Session (1) Application of Next-Generation Technologies for Environmental Sensing

The next-generation technologies for environmental sensing rely on the integration of hardware and software to provide real-time surveillance and data to farmers for immediate response. Dr. Armando N. Espino, Jr., the Central Luzon State University of the Philippines introduced how the automated furrow irrigation system increases sugar yield by soil moisture sensors. Dr. Khwantri Saengprachatanarug, Khon Kaen University of Thailand presented how the commercialization of UAV-based remote sensing technologies could do to implement tropical crop managements from planting to harvesting. Mr. Tai-An Chen, Ling-Cheng Technology of Taiwan shared experience and successful cases of “Smart Farm Management” system in Taiwan and emphasized the importance of detailed analysis and comparison of data collected from IoT devices and crops.

Session 2: Application of Artificial Intelligence for Agriculture

By feeding images collected from, for example, agricultural pests and spatial information into artificial intelligence system, the analysis results could be regarded as an alert system for diseases prevention and fertilizer spray recommendation. Dr. Yan-Fu Kuo, National Taiwan University, demonstrated the tomato pest’s identification platform which combined intelligent machine vision system and various data sources of collected pests images. Dr. KISHI Shigeki, NARO raised a concept that AI-based pest identification system could be a solution to the decreasing experienced professors. Dr. Baba Barus, IPB University, Indonesia, shared the challenges and difficulties in developing and identifying universal formulas across various crops and nutritional issues.

Session 3: Construction and Practical Use of Data Platform

Mr. Sanghun Lee, Agro Solution Korea Co. Ltd, introduced the 4th industrial revolution in Korean agriculture and how ICTs-based “Smart Farms” applied in horticulture, livestock or poultry. Dr. KAWAMURA Takahiro, NARO, described the research database platform managed by NARO, which is composed of various data sources input by different institutes. The downstream applications include AI calculation and API potential for private uses and analytic services. Ms. Astri Purnamasari, TaniHub, Indonesia, promote digital tools, apps and platforms, to build sustainable agriculture value chain in Indonesia.

Workshop outcomes

The symposium had over 900 registrants and actually 444 people joined the Webex symposium. About 65% of those belong to the public sector while 25% are from the private sector. The symposium was only open to registered participants on the Cisco Webex platform. The Feedback form was sent to participants the day after the workshop and 168 responded to the survey. The majority of the respondents (>90%) were very satisfied with the workshop in all aspects (logistics, content, and relevance). Overall, the workshop was successful in planning, coordination and delivery.

Related News

Jul. 28, 2021  2021 NARO-FFTC Online Symposium: Data-Driven Agriculture in the Asian and Pacific Region – To Ensure Productivity and Sustainability
Sep. 28, 2021  2021 NARO-FFTC Symposium on “Data-Driven Agriculture in the Asian and Pacific Region: To Ensure Productivity and Sustainability” successfully concluded on September 3

 

program

Tentative Program
Paper:

papers

Fluorescence Technology Based Super Precision Agriculture for Small Scale Smart (SSS) Farming
Dr. KONDO Naoshi
Kyoto University, Japan
Paper:
PPT:
Applications of AI on UAV images to precision agriculture
Dr. Ming-Der Yang
National Chung Hsing University, Taiwan
Paper:
PPT:
Increasing water use efficiency through automation of irrigation systems
Dr. Armando N. Espino, Jr.
Central Luzon State University (CLSU), Philippines
Paper:
UAV imagery application for agriculture in Thailand
Dr. Khwantri Saengprachatanarug
Khon Kaen University, Thailand
Paper:
PPT:
IoT sensors application experience sharing
Mr. Tai-An Chen
Ling Chen Technology Co Ltd., Taiwan
Paper:
PPT:
Identifying tomato diseases and pests using intelligent machine vision
Dr. Yan-Fu Kuo
National Taiwan University, Taiwan
Paper:
PPT:
Integrating AI-based image diagnosis of pest damages and model prediction of pest occurrences
Dr. KISHI Shigeki
NARO, Japan
Paper:
PPT:
Experience in the development of Agricultural Crop Fertilizer Recommendation Location based through Apps Sipindo
Dr. Baba Barus
IPB University, Indonesia
Paper:
PPT:
Korea's Mobile Communication Applications and Cases in Agriculture
Mr. Sanghun Lee
Agro Solution Korea Co. Ltd, Korea
Paper:
PPT:
Construction and practical application of data platform
Dr. KAWAMURA Takahiro
NARO, Japan
Paper:
PPT:
Building Sustainable Agriculture Value Chain in Indonesia Through Technology and Innovations
Ms. Astri Purnamasari
TaniHub, Indonesia
Paper:

proceedings

Proceeding
Paper:
AgriculturalPolicy DragonFruitNetwork
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