Authors : Ericson B. Dela Cruz; Jet C. Aquino

Volume/Issue : Volume 11 - 2026, Issue 2 - February

Google Scholar : https://tinyurl.com/8eb5kd3m

Scribd : https://tinyurl.com/4vcbrzne

DOI : https://doi.org/10.38124/ijisrt/26feb1179

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : This study presents GeoCROP, a GIS-Based Crop Recommendation and Agricultural Data Management System developed to improve agricultural planning, data accessibility, and decision-making among farmers and agricultural stakeholders. Traditional agricultural practices often rely on fragmented and manual data handling, resulting in inefficiencies in monitoring crop distribution and accessing timely information. To address these challenges, GeoCROP was designed and developed using the Agile methodology, enabling iterative development and continuous system refinement. The system integrates Geographic Information System (GIS) technology to provide spatial visualization of farmer profiles, crop information, and agricultural locations. Core features include farmer profiling, crop management, GIS mapping, messaging, announcements, and report generation. The system was evaluated by IT experts and end-users using selected ISO/IEC 25010 quality criteria. Results indicate high technical quality, usability, and user acceptability, demonstrating that GeoCROP effectively supports agricultural data management and digital transformation initiatives.

Keywords : GeoCROP, GIS-Based System, Crop Recommendation, Agile Methodology, ISO/IEC 25010.

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