JPA seeks reviewers with expertise in precision agriculture, agronomy, agricultural engineering, or data analytics. Reviewers support timely, high quality assessments of manuscripts.

• Remote sensing and geospatial analytics
• Variable rate application and automation
• Soil mapping and nutrient management
• Decision support systems and modeling
• Sustainability and climate resilience

• Provide objective, constructive feedback
• Complete reviews within agreed timelines
• Disclose conflicts of interest promptly
• Maintain confidentiality and ethical standards
• 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.
• Confirm agronomic units are consistent across tables and figures.

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.