Power of supercomputers in developing better-performing AI-driven models for Agriculture services.

Our CEO, Nils Solum Helset speaks with our partners HPE (Hewlett Packards Enterprice), where he goes into detail about the process of developing AI-driven intelligence tools for precision and resilient agriculture using supercomputers.


We cover parts of the discussion on our blog, and you can find the full article here:

Achieving precision in mapping through AI

DigiFarm's innovative use of deep neural networks for automatic field boundary and feature detection enabled more accurate and efficient mapping of diverse agricultural landscapes. By leveraging HPE's LUMI supercomputer, the team reduced the time required to bring its product to market by six months, while increasing the model's accuracy by 4.2%.

These improvements contribute to better farming efficiency and productivity, as farmers can now precisely apply crop inputs, leading to better yield forecasting.

DigiFarm's impact on agriculture worldwide

DigiFarm’s technology is being adopted by 55+ agricultural enterprises and government agencies, reducing costs, enhancing productivity, and protecting the environment.

By providing precise data on field boundaries and management zones, farmers can optimize resource allocation and reduce emissions from inspection trips. Retailers and other companies can also ensure their products are not sourced from deforested areas, leading to more sustainable sourcing practices.

We will continue to harness the power of AI and supercomputing to drive innovation in the agriculture industry. By enhancing traceability and ensuring compliance with deforestation regulations, the company is committed to delivering solutions that promote sustainability while also being cost-effective, especially in smaller markets.