Food and Fertilizer Technology Center - publications

Jul. 15, 2020

2019 PROJECT 1: Current trends and perspectives of IoT/AI technologies in livestock industry

2019 PROJECT 1: Current trends and perspectives of IoT/AI technologies in livestock industry

The symposium on “Current Trends and Perspectives of IoT/AI Technologies in Livestock Industry” held in NARO, Tsukuba, Japan on October 24-25 was attended by 140 participants from eight countries including 15 speakers.

Venue: NARO, Tsukuba, Japan
Date: October 23-26
Participating countries: 8 countries (Israel, Korea, Malaysia, Taiwan, Thailand, USA, Vietnam and Japan)
Participants: 140 participants including 15 speakers
Papers presented: 15
Co-organizers: National Agriculture and Food Research Organization, Japen

In Japan and Western countries, the number of livestock per farm tends to be large as animal husbandry is accumulated to large-scale farmers. Such situation leads to the need to develop technologies that could help manage livestock using a smaller number of people. Aiming on the establishment of a labor saving and precise farming system, IoT or the Internet of Things and Artificial Intelligence or AI are utilized to develop technologies 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 so far been applied and developed at an early stage in Japan, together with other countries. Therefore local and international foreign researchers have been invited to this symposium to introduce the current state of technology development related to smart livestock management including advanced technologies in Western countries and discuss prospects in order to contribute to the spread of smart livestock technology suitable for the Asian and Pacific Region.

The topics in this symposium explored the opportunities for building up a smart livestock management system by information sharing and exchange of experiences from invited AI and IoT professionals. Through diverse physiological data, such as motion activity, body surface temperature, feeding and milking behavior, and lumen condition, etc. collected from sensors, the “visualization management” assisted by AI as an integrated decision-making system is a promising scenario, especially for the trend of expanding livestock farm size managed by a small number of people. Despite the effective and precise livestock management by AI & IoT technologies, the critical issue in promoting smart livestock management is to reduce the threshold of implementation cost and operation complexity for its customers – the farmers.

Major highlights and recommendations

1. Understand IoT and AI technologies as promising tools for precision livestock farming, improving animal production and welfare, and reproductive management and early disease diagnosis.

2. 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.

3. Consider the implementation cost of AI-IoT system in agricultural production value chain when promoting to farmers in the future.

4. 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.

5. Strengthen R and D investments, communication between farmers and researchers, and regulation policy and strategy formulation for future IoT and AI application.

List of papers

• Precision dairy opportunities and challenges - Jeffrey Bewley 
• Introduction to smart dairy farming in an enclosed dairy house with low profile cross ventilation system - Atsuo Ikeguchi
• Robots for herd management of dairy cows in tropical Taiwan - Ming-Che Wu 
• Livestock production in Korea: recent trends and future prospects of ICT - Hee-Chul Choi 
• Egg production recording system of Taiwan native chicken - Der-Yuh Lin 
• To be the brain of agriculture - Soichiro Honda 
• Current trends and perspectives in precision livestock farming (PLF) in relation to IoT data and science tools - Ilan Halachmi 
• Low-cost IoT-based system to monitor cows’behavior - Duc-Tan Tran 
• Pespective: the use of artificial intelligence (AI) for improving commercial pig and poultry production in Thailand - Chaiyapoom Bunchasak 
• Reproductive management by the continuous body temperature measurement in cattle: focusing on reproductive hormonal change - Miki Sakatani 
• Early detection of livestock diseases by using wearable wireless sensors - Koji Yoshioka 
• Assessment of biosecurity level in pig and poultry production system in Vietnam using biocheck technology - Thi Kim Cuc Ngo 
• Detection and prediction of risk factors associated with production losses using production records on commercial pig farms - Yosuke Sasaki 
• IoT applications for ruminant profiling and disease monitoring - Mohd Syaifudin Abdul Rahman 
• Measurement of reticuloruminal function in cattle using a bolus-type wireless sensor - Shozo Arai 

NARO President Dr. Kazuo Kyuma and FFTC Director Dr. Kuo-Ching Lin during the symposium’s opening ceremony.

Participants and speakers of the FFTC-NARO symposium gather to understand IoT and AI technologies as promising tools for precision livestock farming.

FFTC Director Dr. Kuo-Ching Lin (middle), Deputy Director Dr. Akira Hasebe, and Ms. Chia-Chuan Chang enter the convention Center where the FFTC-NARO symposium is held.

MARDI’s Dr. Mohd Syaifudin Bin Abdul Rahman participates in the discussion during the symposium’s question and answer portion.

During the one-day field trip, speakers and participants get to take a look at the agricultural machineries on display at NARO’s Institute of Agricultural Machineries. The institute applies robotics and ICTs to agricultural work by focusing on collaborations with different research fields.








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