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Around 150 delegates from 42-nation countries followed the invitation and met for the virtual kick-off of the new international technical committee on data-driven agricultural and food systems. Among other things, the video conference presented the previous work of the national bodies and decided on upcoming standardisation projects. Andres Ferreyra, Industry Data Standards, Collaborations Lead at Syngenta was elected Chair.

The founding meeting was preceded by the establishment of the National Committee of Mirrors on 16. January 2024, which brought together participants from the fields of business, science and public sector. Many other national standardisation organisations have already set up national mirror bodies on the ISO/TC 347 to discuss their interests together and send a national delegation to work on the committee.

In October 2023, the new Technical Committee (TC) at the International Organization for Standardization (ISO) was established. The ISO/TC 347 requested by DIN will develop standards and standards for data-based agricultural and food systems and support the interoperability of agricultural systems. The focus is on challenges with regard to interoperability such as uniform agricultural semantics, standardized data formats in the agricultural and food system, data management of animal husbandry and animal husbandry activities and the topic of urban farming. The establishment of the new TCs was a recommendation from the ISO Strategy Advisory Group Smart Farming. DIN will take over the management of the secretariat and, due to the good cooperation with the US standardization organization ANSI, has proposed the Chairperson from the USA during ISO SAG Smart Farming.

Background

There is no "common data language" in agriculture. Thus, standards for the basic data used to describe crops, pests, fields, herds and laboratory methods are missing. Devices and software from different manufacturers often cannot communicate with each other, which makes collecting and evaluating data considerably more difficult.

Standards can drive the automation of data collection and processing and reduce costs along the entire value chain. This offers enormous economic potential, especially for agriculture in countries of the Global South. However, the use of data can also help with regard to the effects of climate change, for example by making production methods ecologically efficient by taking environmental factors into account. Challenges such as changing weather events can be better predicted and thus better managed. The possibilities of using data in the agricultural and food sectors are manifold, especially to achieve sustainability goals.