JPA upholds rigorous editorial policies to protect research integrity and ensure reliable precision agriculture scholarship. We follow international publishing standards for ethics, transparency, and peer review.

• Compliance with field trial permissions and biosafety requirements
• Disclosure of conflicts of interest and funding sources
• Data integrity and reproducibility expectations
• Plagiarism screening and originality checks

JPA uses single blind peer review. Reviewers evaluate methodology, data quality, and interpretability. Editors ensure feedback is constructive and aligned with journal scope.

• Corrections issued for factual or metadata errors
• Retractions for serious integrity concerns
• Editorial expressions of concern when needed
• Versioning for data or code updates
• Describe data sharing expectations for spatial and temporal datasets.
• Clarify requirements for reporting field trials and equipment settings.
• State expectations for reproducibility, including code and data access.
• Outline peer review timelines and author response expectations.
• Note any requirements for disclosure of commercial partnerships or vendors.
• Require data availability statements for all submissions.
• Clarify policies for proprietary datasets and vendor partnerships.
• Outline expectations for field trial permissions and farm agreements.
• Specify requirements for reporting equipment settings and calibration.
• Define standards for geospatial metadata and coordinate systems.
• State expectations for model validation and benchmarking.
• Include policy on image manipulation and figure integrity.
• Describe procedures for corrections to data or maps.
• Require disclosure of commercial funding or product sponsorship.
• Clarify how negative or null results are handled.
• Provide guidance on data reuse citations and licensing.
• Outline timelines for author responses and revision cycles.
• State requirements for supplementary materials and datasets.
• Define editorial independence from APC payments.
• Include expectations for multi site trial reporting.
• Encourage inclusion of uncertainty estimates and confidence bounds.
• Clarify policies for AI assisted analysis disclosure.
• Require standardized units and measurement reporting.
• Specify procedures for appeals and disputes.
• Clarify expectations for data anonymization and farm privacy.
• Provide guidance on reporting sensor accuracy and drift.
• Specify requirements for reporting weather data sources.
• Encourage inclusion of economic impact metrics when available.
• Outline policies for replication or repeat trials across seasons.
• State expectations for documenting algorithm training data.
• Require clear descriptions of management zone boundaries.
• Describe expectations for reporting irrigation schedules and inputs.

Authors should disclose AI assisted analysis or writing tools and describe how outputs were validated. Automated outputs must be checked for accuracy, bias, and reproducibility.

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.