From evaluation to innovation: Strengthening geospatial agricultural monitoring information system in Indonesia

Abstract

The adoption of geospatial technologies is vital for improving the efficiency and accuracy of agricultural crop monitoring. This study examines the implementation of geospatial agricultural monitoring systems through interviews with four units from three institutions in Indonesia that develop these systems. The interviews focused on system maturity management and technical processing techniques, including data input, methods, preprocessing, validation, and output. Results show that three systems, SISCrop, Simotandi, and Mixed Method­­­­, exhibit Level 3 maturity in system management (Standardized), while IDMAI SIMURP is still at Level 2 (Managed), indicating in the development phase. All institutions follow standard preprocessing protocols, though variations exist in data input, applied methods, and output designs, reflecting tailored approaches. Geospatial systems demonstrate significant potential to optimize resource use. The analysis of the technical processing technique reveals significant differences in satellite sources, spatial and temporal resolutions, classification schemes, and statistical granularity. To advance their implementation, this study recommends a unified data and policy framework to align classification standards, align temporal outputs, and establish a centralized platform that integrates agricultural data for real-time sharing and use. Also recommended are policy moves designed to clear up ownership and governance issues.