Riaz et al. (2025) Using remote sensing in agriculture for sustainable development goals in developing countries

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-13
• Authors: Muhammad Rizwan Riaz, Shaopeng Zhao
• DOI: 10.1016/b978-0-443-30204-6.00004-8

Research Groups

College of Resources and Environment, Zhongkai University of Agriculture and Engineering, Guangzhou, P.R. China

Short Summary

This chapter explores the critical role of remote sensing technologies in fostering agricultural sustainability within developing countries, aiming to achieve Sustainable Development Goals, particularly "zero hunger," by enhancing productivity and food security.

Objective

• To analyze how remote sensing technologies can be effectively utilized in agriculture in developing countries to enhance sustainability, food security, and contribute to the achievement of Sustainable Development Goals (SDGs), such as SDG-2 (Zero Hunger).

Study Configuration

• Spatial Scale: Global, with a specific focus on developing countries.
• Temporal Scale: Future-oriented, addressing long-term goals and projections (e.g., UN 2030 Agenda for Sustainable Development, FAO 2050 agricultural production targets).

Methodology and Data

• Models used: Not applicable; this is a conceptual and review chapter, not a study applying specific models.
• Data sources: Earth Observation Data, remote sensing technologies.

Main Results

• Remote sensing is identified as a valuable tool for enhancing agricultural sustainability, particularly in developing nations.
• Its application can positively impact the global economy, reduce economic migration, and improve global wealth distribution.
• Remote sensing-enabled sustainable agriculture contributes directly to achieving SDG-2 (Zero Hunger) by improving food productivity and health.

Contributions

• Provides a comprehensive overview of the potential and importance of remote sensing in driving agricultural sustainability and achieving SDGs in the context of developing countries.
• Highlights the broader socio-economic benefits of adopting remote sensing in agriculture, beyond just productivity gains.

Funding

• Not specified in the provided text.

Citation

@article{Riaz2025Using,
  author = {Riaz, Muhammad Rizwan and Zhao, Shaopeng},
  title = {Using remote sensing in agriculture for sustainable development goals in developing countries},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-30204-6.00004-8},
  url = {https://doi.org/10.1016/b978-0-443-30204-6.00004-8}
}