ASEAN Food Security Information System (AFSIS): Innovation for Agricultural Data Management & Utilization

The Government of the Republic of Korea has implemented an ICT-based agricultural data management system through digitalization and a human capacity building program, which allows innovative data collection, analysis, and sharing in 6 ASEAN member countries. Through this, the governments have improved the paperless work process on agricultural statistics, accumulating the data and human resources for enhancing food security in the ASEAN region.

Innovation Summary

Innovation Overview

To respond effectively and efficiently to secure food security, providing accurate data and information on agricultural production and distribution at the right time is essential. Many developing countries are currently collecting that data manually using either paper or Excel, which can disrupt the accurate and timely work process on agricultural statistics data collection.

In this context, the Government of Korea has implemented a cooperation project with ASEAN Food Security Information System (AFSIS) Secretariat under ASEAN+3 Ministerial Meeting on Agriculture and Forestry (AMAF+3). As a result of the project implementation from 2014 to 2020, an ICT-based agricultural data management system, called National Agri-food Information System (NAIS), has been established in 6 ASEAN member countries: Laos, Cambodia, Indonesia, Philippines, Vietnam, and Myanmar. NAIS contributes to creating an innovative and timeliness work environment via digitalization of statistics data collection process and capacity building program for local government workforces.

The objective of the project is to enhance the ASEAN national/regional competency to respond to its food security promptly by creating an environment for ICT-based data collection and monitoring on national strategic agricultural data.

The project is three-phased that includes an action plan and information system development, and a human capacity building program in each phase:

1) PHASE 1 (2014~2017): NAIS system development for agricultural production data collection such as production volume, yield, and production area through the online web system.

2) PHASE 2 (2018~2021): NAIS system improvement for agricultural distribution data collection such as food stock, price, export, and import. The data collection is not only on the web but also is accessible and collectible in mobile connection in response to the high variability of data on agricultural distribution. Also, it is improved to provide the gathered data to the public for the greater good of autonomous supply and demand conditions by allowing farmers and consumers to make their own price decision.

3) PHASE 3 (2022~): Food security forecasting model development based on remote sensing technology (Pilot)

In the overall analysis of the project implementation, an ICT-based agricultural data management system, 'NAIS,' creates a new work process on agricultural data collection, which directly contributes to work efficiency and cost reduction. As the traditional manual data collection has transformed to an ICT system that enables paperless data collection, the data collection time has reduced up to 27% after Phase 1 and 40% after Phase 2 on average. Furthermore, the local government budget for data collection has reduced up to 27% after Phase 1 and 30% after Phase 2 on average.

Significantly, Indonesia has delivered an outstanding performance in terms of work efficiency and cost reduction. In 2016, bimodally divided bureaucracy on statistics collection into Ministry of Agriculture and Statistics Offices of Indonesia became unified through NAIS system to collect data on sugarcane, a national strategic crop of Indonesia, at the national-public level. Then, it added the scope of sugarcane data collection in private distribution channels in 2020, which manages a comprehensive agricultural value chain in both public and private sectors from production to processing and distribution. As a result, the data collection time has reduced to 71~80% in both Phase 1 and 2, showing the highest level of time-saving among 6 ASEAN member countries.

Also, a preliminary pilot project was implemented to develop the Food Security Forecasting Model (FSFM) for phase 3 of the project. Through this, satellite image processing and utilizing systems have been created. It also proposed a production forecasting model through sugarcane production monitoring, data analysis, and site inspection in three pilot areas.

Last but not least, the human capacity building program comprises local training and invitational training in Korea, targeting to focus on policy decision-making and work performance increase on food security and agricultural ICT area. Through the seven years of capacity building program operation, a total of 1,574 local government officials successfully enhanced their work competency in the workplace.

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Year: 2014
Level of government: Other


  • Implementation - making the innovation happen
  • Evaluation - understanding whether the innovative initiative has delivered what was needed
  • Diffusing Lessons - using what was learnt to inform other projects and understanding how the innovation can be applied in other ways

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