JPA features ongoing special issues that highlight timely topics in precision agriculture, automation, and sustainability. These collections bring together leading researchers to accelerate discovery and practical adoption.

• Review the current special issue themes
• Ensure your manuscript aligns with the stated scope
• Submit through ManuscriptZone with the correct issue selection
• Engage with guest editor feedback during review

• Connect with guest editors and contributing authors
• Identify gaps for future special issues
• Propose datasets or tools for community use
• Engage in cross disciplinary collaborations
• Special issues may include field campaigns, multi site trials, or technology validation studies.
• Guest editors should outline expected datasets and metadata standards.
• Encourage authors to coordinate sampling windows and data formats.
• Consider including synthesis papers that translate findings for practitioners.
• Highlight cross disciplinary collaborations between agronomy, engineering, and data science.
• Consider aligning submission timelines with growing seasons.
• Encourage shared data formats for cross site comparisons.
• Plan a short editorial summary highlighting methods and outcomes.
• Include industry or extension perspectives when relevant.
• Coordinate common metrics for yield, efficiency, and sustainability.
• Encourage shared protocols for data cleaning and quality checks.
• Define common reporting templates for multi site datasets.

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.