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October 17, 2025E3S Web of ConferencesOpen Access

Forecasting Rice Field Conversion in Boyolali Regency Using CA-ANN and Multitemporal Remote Sensing Data

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Authors

SFSurya FathurrahmanDSDewi Novita Sari

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Overview

Analysis predicts substantial increases in non-rice field land use in Boyolali Regency, indicating urgent land management needs.

Key Points

  • Substantial decreases in rice fields observed, with a 20.26% reduction expected by 2024 due to land conversion.
  • The area of non-rice field land use increased by 9,846.29 ha (16.15%) between 2014 and 2024, highlighting ongoing changes.
  • CA-ANN demonstrated high predictive accuracy, achieving a Kappa index of 0.73350 in forecasting land use changes.
  • Driving factors for land use change include proximity to roads, rivers, and settlements, emphasizing spatial influences.

Cite This Study

Fathurrahman et al. (2025) studied this question.

synapsesocial.com/papers/68f199bfde32064e504dc9b8https://doi.org/10.1051/e3sconf/202565210004
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