Chachoengsao, located in the vicinity of Bangkok province, is in the eastern part of Thailand. Its area is approximately 5,351 km2 which is ranked as the 40th largest province in Thailand. Chachoengsao province is the target area for this study basically because it gains the reputation of various agricultural practices and eases the quality control of the project. As mentioned earlier, Chachoengsao has highly diversified agricultural activities with particular strength in crops, livestock, and fisheries. These businesses have played distinctively important economic and socio-cultural roles for the well-being of farming households, such as food security, supporting local livelihood household income-generation process, a form of saving, a social status and sources of employment. The livestock species are also of considerable importance for farm families through providing a means of generating income, satisfying household energy requirements, and supporting food supply for consumption of products.

AFSIS Secretariat has been providing time series data by Database, as well as reports on supply and demand information and production forecasts for five main crops. These reports are known as the Agricultural Commodity Outlook (ACO) and Early Warning Information (EWI). Initially, the activities focused only rice-related data, but over time, the scope expanded to include all five major crops in alignment with the AFSIS database. Under the implementation of the SAFER project, the AFSIS Focal Points had discussed on the appropriate agricultural commodity to be added as a new target commodity apart from five main crops. Following deliberations, the meeting concluded that “Laying Hens” would be the new commodity added to the AFSIS Database, as well as the ACO and EWI reports. The AFSIS Secretariat developed a guidebook outlines the data collection process and provides clear definitions and descriptions of the necessary data items to support the integration of this new commodity into AFSIS’s reporting mechanisms.

Sub-indicator 1:

Farm output value per hectare

Sub-indicator 2:

Net farm income

Sub-indicator 3:

Risk mitigation mechanisms

Sub-indicator 4:

Prevalence of soil degradation

Sub-indicator 5:

Variation in water availability

Sub-indicator 6:

Management of fertilizers

Sub-indicator 7:

Management of pesticides

Sub-indicator 8:

Use of biodiversity-supportive practices

Sub-indicator 9:

Wage rate in agriculture

Sub-indicator 10:

Food insecurity experience scale (FIES)

Sub-indicator 10:

Food insecurity experience scale (FIES) with COVID-19 pandemic situation modification

Sub-indicator 11:

Secure tenure rights to land

SDG 2.4.1 Dashboard

Using data from the pilot survey carried out in Chachoengsao province, it is unmistakable that the sub-indicator with the highest level of unsustainability is Farm Output Value per Hectare with at least 82.21% of the agricultural area classified as unsustainable

This output focuses on strengthening the capacity of officers from ASEAN Member Countries, in collaboration with JAXA and RESTEC, to develop the necessary skills to operate the INAHOR system using satellite imagery (ALOS-2 data) for estimating rice cultivation areas in target regions. Upon completion of the training, participants are expected to be able to prepare training data for INAHOR, estimate rice cultivation areas in their respective countries, and generate corresponding maps using the software. Furthermore, they will be equipped with the knowledge and capability to adopt and integrate satellite-based technologies into agricultural statistics within their national statistical systems. The AFSIS Secretariat conducted both regional workshops for member countries and in-countries activity in Lao PDR, Cambodia in 2023, Thailand and Vietnam in 2024, and Indonesia and Myanmar in 2025, respectively.