What question did this study set out to answer?

This review aims to evaluate the use of Digital Twins in agriculture, focusing on current modeling approaches and interoperability challenges.

Digital Twins in Agriculture: A Systematic Literature Review on Modeling, Semantics, and Interoperability

View Full Paper

Ask AI

Bookmark

Authors

Systematic review analyzes Digital Twins in agriculture, addressing modeling and interoperability issues.

This review aims to evaluate the use of Digital Twins in agriculture, focusing on current modeling approaches and interoperability challenges.
Conducted a systematic literature review of studies from 2016 to January 2026.
Screened 6,968 records to identify 62 primary studies relevant to Digital Twins in agriculture.
Analyzed approaches related to modeling, semantics, and interoperability mechanisms.
Research primarily concentrated on semantic modeling and interoperability mechanisms.
Crop-oriented Digital Twins dominate the literature, with less focus on agricultural machinery and large-scale farming.
Key gaps identified include a lack of standardized architectures and limited field validation.

Pereira et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark