Khan et al. (2025) Harnessing Earth observation for sustainable agriculture: integrating research, technology, and decision support systems

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-13
• Authors: Mobushir Riaz Khan, Sajid Iqbal
• DOI: 10.1016/b978-0-443-30204-6.00022-x

Research Groups

• School of Agricultural, Environmental and Veterinary Sciences, Charles Sturt University, Albury, NSW, Australia
• Computer Science, Faculty of Sciences, Allama Iqbal Open University, Islamabad, ICT, Pakistan

Short Summary

This chapter introduces the transformative role of Earth observation (EO) technologies in achieving Sustainable Development Goals, particularly in agriculture, by exploring their evolution from traditional monitoring to dynamic, interactive decision support systems. It highlights the challenge of converting EO data into actionable knowledge for various stakeholders to foster sustainable development.

Objective

• To explore how Earth observation (EO) tools are evolving from traditional monitoring functions into dynamic, interactive platforms that empower farmers, agronomists, businesses, and governments to make more informed decisions for sustainable agriculture.
• To address the critical gap between EO data generation and its application in decision support systems to realize the full potential of these technologies for sustainable development.

Study Configuration

• Spatial Scale: Multiple scales, from farm to policy, are discussed as application domains for Earth observation technologies.
• Temporal Scale: Not explicitly defined for the chapter itself, but the application of EO technologies implies regular and dynamic monitoring for environmental trends and agricultural systems.

Methodology and Data

• Models used: The text refers generally to "analytical models" within Earth observation technologies but does not specify models used by the chapter itself.
• Data sources: Satellite imagery (e.g., Sentinel, Landsat), geospatial tools, and Earth observation data in general.

Main Results

The provided text is an introductory chapter and does not present specific main results from a conducted study. It sets the context, outlines the problem, and describes the scope and objectives of the subsequent chapter content.

Contributions

This chapter contributes by framing the critical need to bridge the gap between Earth observation data generation and its practical application in decision support systems for sustainable agriculture. It highlights the evolving nature of EO tools towards dynamic, interactive platforms, emphasizing their potential to empower diverse stakeholders in making informed decisions for achieving Sustainable Development Goals.

Funding

Not mentioned in the provided text.

Citation

@article{Khan2025Harnessing,
  author = {Khan, Mobushir Riaz and Iqbal, Sajid},
  title = {Harnessing Earth observation for sustainable agriculture: integrating research, technology, and decision support systems},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-30204-6.00022-x},
  url = {https://doi.org/10.1016/b978-0-443-30204-6.00022-x}
}