JPA provides reviewers with tools and guidance to support efficient, high quality reviews. Resources focus on evaluating field methods, data transparency, and agronomic relevance.

• Verify that sampling design is described clearly
• Check that site definitions align with study objectives
• Assess whether data and code access statements are complete
• Recommend clarifications for agronomic interpretation
• Reviewers should assess field design, data integrity, and reporting clarity.
• Check that remote sensing or sensor data are validated against ground truth.
• Confirm that models include appropriate baselines and performance metrics.
• Evaluate reproducibility of data processing workflows and code sharing.
• Assess relevance of findings to farm decision making and sustainability.
• Check that maps include scale bars, north arrows, and legends.

Reviewers can contact the editorial office for clarification on review criteria or conflicts. Email [email protected] for assistance.

JPA is committed to rigorous, transparent publishing in precision agriculture and digital farming. We emphasize reproducible field trials, clear reporting of agronomic outcomes, and ethical compliance across all article types.

The editorial office supports authors, editors, and reviewers with clear guidance and responsive communication. For questions about scope or workflow, contact [email protected].

We encourage continuous improvement in reporting practices and share updates that help the community maintain high standards in agricultural data science, field validation, and technology transfer.