Journal of Precision Agriculture strengthens visibility through structured metadata, DOI registration, and trusted discovery channels. Precision agriculture findings reach agronomists, engineers, and data scientists through global search and library systems.

Metadata validation and citation checks improve long term accuracy and citation tracking.

The journal is listed in recognized academic directories and evaluation platforms for discoverability.

• Cosmos Impact Factor
• Journal Impact Factor
• Rjifactor
• IP Indexing

Indexing coverage varies by platform and may update over time as services refresh their records. Open metadata and structured references accelerate discovery, but inclusion is not a guarantee of evaluation.

For verification or compliance questions, contact [email protected].

• Accurate author names, affiliations, and ORCID identifiers
• Funding sources, grant numbers, and conflict disclosures
• Structured abstracts with clear objectives and results
• Precision agriculture keywords aligned to scope
• Complete references with DOIs where available
• Provide ORCID identifiers for all authors to strengthen metadata matching.
• Use standardized precision agriculture keywords and controlled vocabulary where applicable.

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.