Journal of Precision Agriculture invites high quality submissions that advance precision agriculture, digital agronomy, and data driven farming systems. We welcome original research, reviews, and methodological advances that connect sensing, analytics, and decision support with measurable agronomic outcomes.

Our editorial focus prioritizes reproducible field methods, transparent reporting, and actionable insights for farm management and sustainability.

• Remote sensing, UAV analytics, and field imagery workflows
• Soil mapping, variability analysis, and zone management
• Variable rate application and prescription optimization
• IoT sensing, telemetry, and real time monitoring
• Yield mapping, harvest analytics, and post harvest quality
• Decision support systems and farm management platforms
• Robotics, automation, and autonomous equipment
• Crop modeling, simulation, and predictive analytics
• Water and nutrient use efficiency strategies
• Sustainability, climate resilience, and carbon metrics

• Data resource papers with geospatial or sensor datasets
• Technology notes with validation results and limitations
• Economic or policy analyses grounded in field evidence
• Perspectives on emerging precision agriculture challenges

Successful submissions present a clear research question, robust field design, and transparent analytical methods. We value studies that demonstrate reproducibility and practical relevance for operational decisions, resource efficiency, and sustainability.

Authors should explain novelty, document data collection protocols, and connect findings to agronomic processes or management outcomes.

• Clear field sampling protocols and replication strategy
• Sensor calibration and ground truth validation
• Transparent model evaluation metrics and limitations
• Interpretation that links data signals to management outcomes

Precision agriculture research should bridge data collection with actionable decisions. We encourage authors to describe how analytics inform planting, irrigation, fertilization, or harvest strategies.

Include economic, operational, or sustainability implications so findings translate to real farm impact.

Submissions undergo editorial screening for scope fit, study design quality, and data transparency. Qualified manuscripts move to single blind peer review with subject matter experts.

Submit via ManuscriptZone (https://oap.manuscriptzone.net/) for full tracking and reviewer communication, or use the Simple Manuscript Submission Form (https://openaccesspub.org/manuscript-submission-form) for a streamlined entry. Both routes receive the same editorial screening and peer review standards.

JPA operates under an open access model to ensure precision agriculture research is discoverable and reusable. APCs are applied after acceptance and support peer review, production, and archiving services.

Membership options and affordable APC waivers are available for eligible authors. Contact the editorial office at [email protected] for guidance.

• Scope fit confirmed for precision agriculture research
• Data availability statement included
• Validation metrics reported
• Field protocols and permissions documented
• Cover letter explains novelty and impact

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.