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International Symposium on Current trends and perspectives of IoT /AI technologies in livestock industry

1. Rationale:

In Japan and Western countries, the number of livestock per farm tends to be large as animal husbandry is accumulated to large-scale farmers. It leads needs in developing technology to manage livestock by a small number of people. Aiming on the establishment of a labor saving and precise farming system, IoT (Internet of Things) and Artificial Intelligence (AI) are utilized to develop technology for smart livestock management and various techniques have been developed including dairy farming automation and diseases detection through "visualization" of livestock health condition realized by sensor technology. To be more specific, milking robots, activities sensors, body surface temperature sensors, lumen sensors, etc. have been developed in Japan so far. We invite domestic and foreign researchers to this symposium and introduce the current state of technology development related to smart livestock management including advanced technologies in Western countries and then discuss prospects in order to contribute to the spread of smart livestock technology suitable for the Asia-Pacific region.

2. Objectives

  • Share information on the state of the art research in animal husbandry and zoology;
  • Provide a venue for exchange of ideas, emerging technologies and knowledge on smart livestock industry with potential applications in the Asian and Pacific region; and
  • Establish collaboration in research that must be pursued at multilateral levels.

3. Major Findings and Recommendations

  • Understand IoT & AI technologies as promising tools for precision livestock farming, improving animal production and welfare, and reproductive management & early disease diagnosis.
  • Identify IoT sensors as an integrated decision-making support system for producers, private and government sectors in agriculture, while AI could be used for analyzing and evaluating data collected by the sensors.
  • Consider the implementation cost of AI-IoT system in agricultural production value chain when promoting to farmers in the future.
  • Emphasize the need for durable, reusable, and sustainable multiple-data recording sensor to replace single signal receiver sensor, which can reduce electronic waste amount and improve management efficiency.
  • Strengthen R & D investments, communication between farmers and researchers, and regulation policy & strategy formulation for future IoT and AI application.

Group photo


Program : 


Precision dairy opportunities and challenges | Paper: PPT:
Dr. Jeffrey Bewley
Alltech, Inc., USA

Introduction of smart dairy farming and an enclosed dairy house with low profile cross ventilation system | Paper: PPT:
Prof. Atsuo Ikeguchi
Utsunomiya University, Japan

Robots for Herd Management of Dairy Cows in Tropical Taiwan | Paper: PPT:
Dr. Ming-Che Wu
Livestock Research Institute, COA, Taiwan

Livestock production in Korea: recent trend and future prospects of ICT technology | Paper: PPT:
Dr. Hee-Chul Choi
National Institute of Animal Science, RDA, Korea

Egg production recording system of Taiwan Native Chicken | Paper: PPT:
Dr. Der-Yuh Lin
Livestock Research Institute, COA, Taiwan

Farmnote initiative to be brain of agriculture | Paper: PPT:
Mr. Soichiro Honda
Farmnote Holdings Inc., Japan

Real time sensors and their application for Improving animal production and animal welfare | Paper:
Dr. Ilan Halachmi
Institute of Agricultural Engineering, ARO, Israel

A Low-Cost IoT-Based System to Monitor Cows' Behaviors | Paper: PPT:
Prof. Duc-Tan Tran
Phenikaa University, Vietnam

Perspective: The use of Artificial Intelligence (AI) for improving commercial pig and poultry productions in Thailand | Paper: PPT:
Prof. Chaiyapoom Bunchasak
Kasetsart University, Thailand 

Reproductive management by body temperature measurement in cattle | Paper: PPT:
Dr. Miki Sakatani
NARO, Japan

Early detection of livestock diseases by using wireless wearable sensors  | Paper: PPT:
Dr. Koji Yoshioka
NARO, Japan

Assessment of Biosecurity level in Pig and poultry production system in Vietnam using Biocheck technology | Paper: PPT:
Dr. Thi Kim Cuc Ngo
National Institute of Animal Sciences, Vietnam

Detection and prediction of risk factors associated with production losses using production records on commercial pig farms | Paper: PPT:​​​​​​​
Dr. Yosuke Sasaki
University of Miyazaki, Japan

Malaysia: Ruminant Profiling and Disease Monitoring System | Paper: PPT:​​​​​​​
Dr. Mohd Syaifudin Bin Abdul Rahman
MARDI, Malaysia

Measurement of reticuloruminal function in cattle using bolus-type wireless sensor | Paper: PPT:​​​​​​​​​​​​​​
Dr. Shozo Arai
NARO, Japan


Seminar Proceeding:


International Symposium on Current trends and perspectives of IoT /AI technologies in livestock industry

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