AI-Driven Approaches in Precision Agriculture for Strawberry Production: A Systematic Literature Review

We are pleased to announce the publication of a scientific article titled "AI-driven approaches in precision agriculture for strawberry production: A systematic literature review" in the journal Smart Agricultural Technology (Elsevier), 2026.

The publication highlights research conducted within the TALLHEDA project, offering a comprehensive synthesis of how artificial intelligence and remote sensing technologies are transforming strawberry cultivation.

The study presents a systematic literature review covering the period 2015–2025 on the integration of AI and remote sensing technologies in strawberry (Fragaria × ananassa) crop production, following the PRISMA 2020 methodology.

The article covers a wide range of applications and technologies, including:

• Applications in yield prediction, quality estimation, harvesting automation, disease, pest, and weed detection, and damage detection.

• A broad spectrum of sensing technologies, including RGB, hyperspectral, multispectral, thermal, and stereo imaging, as well as digital agriculture platforms such as UAVs, unmanned ground vehicles (UGVs), robotic systems, laboratory-based setups, and stationary sensors.

  
  

This peer-reviewed publication marks a significant milestone for the TALLHEDA team, contributing to the growing body of knowledge on how precision agriculture tools and AI methodologies can be applied to high-value horticultural crops — and reinforcing the project's commitment to advancing digital agriculture research and education across Europe.

📄 Read the full article here: https://www.sciencedirect.com/science/article/pii/S2772375526001681