Wheat Production Transition Towards Digital Agriculture Technologies: A Review

We are pleased to share another peer-reviewed output from the TALLHEDA project: "Wheat Production Transition Towards Digital Agriculture Technologies: A Review", now published in Agronomy (MDPI, 2025).

Using the PRISMA 2020 methodology, the study systematically reviewed 113 peer-reviewed papers published between 2015 and 2025, mapping how digital agriculture technologies — from satellite remote sensing and UAVs to machine learning and digital twins — are being applied across one of the world's most strategically important crops.

Key findings include that Asia leads global research output at 37.4%, followed by Europe and North America, while satellites and UAVs are the dominant sensing platforms. Machine learning and deep learning emerged as the most widely used analytical approaches, reflecting a broader shift in agricultural science toward data-driven, AI-powered decision-making.

This publication sits alongside our recently announced strawberry precision agriculture review ("AI-driven approaches in precision agriculture for strawberry production", Smart Agricultural Technology, Elsevier, 2026), demonstrating the breadth of TALLHEDA's research portfolio — from staple cereals to high-value horticultural crops, and from field-scale remote sensing to robotic harvesting systems.

Both reviews share a common thread: the conviction that digital tools and AI are no longer the future of agriculture — they are its present, and that making these technologies accessible, scalable, and evidence-based is essential for sustainable food production across Europe and beyond.

📄 Read the full article here: https://www.mdpi.com/2073-4395/15/11/2640