GeoCROP: Geospatial Mapping of Agricultural Crops
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.
Fields of Study & Subjects
Smart Agriculture and AI
Decision Support System Applications
Geographic Information Systems Studies
Publication details
- Journal / source
- International Journal of Innovative Science and Research Technology (IJISRT)
- Pages
- 2251–2251
- Publication date
- 2 March 2026
- Language
- EN