Since 2014, the Korean Ministry of Agriculture, Food and Rural Affairs has implemented the Low-Carbon Agricultural Product Certification System to promote voluntary greenhouse gas (GHG) reduction in the agricultural sector. The certification process involves document review, on-site inspection, and post-management, and is intended to be internationally recognized as part of national statistics. However, as demand for certification rapidly increases, a shortage of professional inspectors and consultants has hindered timely service delivery.
To address this challenge, we developed Tantan, an AI-powered mobile web-based service platform designed to enhance the efficiency of the certification process through intelligent automation and data management. In the current manual system, farmers must collect and submit documents such as agricultural input purchase receipts and related utility bills. Inspectors or consultants then manually extract data, reference product specifications, and calculate emission factors to prepare carbon footprint reports.
Tantan streamlines this workflow by leveraging AI-based document recognition to minimize the manual data entry burden traditionally required by consultants. Furthermore, it integrates a structured database of product composition and usage information from major suppliers, including NongHyup Chemical, to automatically compute emission factors.
Given that most farms in Korea cultivate multiple crops, input resources often serve several items simultaneously, requiring disaggregation by crop. Tantan addresses this complexity by offering an intuitive interface for daily farming activity logs, enabling farmers to estimate input ratios per crop without the need for on-site consultation visits [Figure 1].
Through mobile access, farmers can now conveniently participate in GHG reduction programs by submitting their records and documents digitally. Inspectors and consultants, in turn, can manage and process carbon accounting data more effectively via the platform’s web-based integrated spreadsheet system [Figure 2].
The Tantan platform demonstrates a promising approach for the efficient and user-friendly estimation and management of agricultural carbon emissions, and is expected to contribute significantly to meeting the growing demand for low-carbon agricultural certification.
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