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Equipment makers' body sets out three levels of AI in farm machinery, from assist to act

A whitepaper from the Association of Equipment Manufacturers describes assist-, advise- and act-level artificial intelligence in agricultural equipment, and argues that responsibly deployed AI strengthens farm resilience and food security.

Agrotech

The Association of Equipment Manufacturers (AEM) has published a whitepaper on how artificial intelligence is becoming a foundational part of agricultural equipment. Titled *AI in Agriculture Equipment: Supporting Productivity, Efficiency, and Decision-Making Through Technology*, it describes how AI is being built directly into machines and systems and is turning into an everyday tool for farming operations. It is available on AEM's Insights & Resources page.

The paper sorts AI in equipment into three levels. Assist-level AI supports the operator through guidance systems, implement control and automated machine functions while the operator stays in control. Advise-level AI analyses large volumes of machine and operational data to give recommendations and decision support. Act-level AI lets machines carry out tasks with greater autonomy, such as targeted spray applications and autonomous field operations.

It also covers what is needed to use those capabilities safely — the industry's work on standards, safety frameworks, interoperability and governance — and gives examples already delivering value in the field: operator decision support, predictive maintenance, data-driven continuous improvement, precision spraying and autonomous equipment operation.

"AI technology is proving to help farmers in their efforts to be productive and competitive, especially as operational challenges continue to intensify for the ag industry," said Austin Gellings, AEM's Senior Director of Agricultural Services, who oversees the Ag Technology Leadership Group that wrote the paper. Deployed responsibly and with the right frameworks, he added, AI "strengthens farm level resiliency, supports a competitive agricultural sector, and contributes to a stable and secure food system for the future."

Seth Zentner, precision farming and systems engineer at AEM member CLAAS, Inc. and chair of the leadership group, said that as global food demand grows and farmers are pressed to do more with fewer resources, AI-enabled equipment is expected to play a growing role in a resilient, competitive and sustainable industry. "By turning data into action and helping farmers respond to changing conditions in real time, AI is becoming an essential tool for advancing productivity and supporting food security for the future," he said.

Source: PrecisionAg

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