Chaurasia et al. (2025) Overview of geospatial technology and machine learning in agriculture

Identification

• Journal: Elsevier eBooks
• Year: 2025
• Date: 2025-12-05
• Authors: Kuldeep Chaurasia, Ghazaala Yasmin, Dharmendra Singh
• DOI: 10.1016/b978-0-443-34113-7.00015-8

Research Groups

• School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh, India
• Department of Computer Science and Engineering/Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India
• Department of Electronics and Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

Short Summary

This introductory chapter highlights the significant contribution of agriculture to India's economy and introduces how contemporary geospatial technologies and machine learning are revolutionizing sustainable agricultural resource management.

Objective

The objective of this chapter is to provide an overview of the application and importance of geospatial technology and machine learning in agriculture for sustainable development, particularly in the context of India.

Study Configuration

• Spatial Scale: Not applicable to this introductory chapter; the discussion broadly covers agricultural practices, implying scales from local to national (India).
• Temporal Scale: Not applicable to this introductory chapter; the discussion is general about the long-term application of technologies.

Methodology and Data

• Models used: Not applicable to this introductory chapter. It discusses general technologies such as Information Technology (IT), Remote Sensing (RS), Geographic Information Systems (GIS), Global Positioning Systems (GPS), and machine learning, but no specific models are detailed.
• Data sources: Not applicable to this introductory chapter. It mentions general data gathering from RS, GPS, and traditional techniques for creating GIS platforms, but no specific data sources for a particular study are provided.

Main Results

Not applicable to this introductory chapter. The text provides background and context, emphasizing the potential and effectiveness of geospatial technologies in researching, monitoring, and characterizing natural resources for sustainable agriculture.

Contributions

This chapter contributes by providing a foundational overview of the critical role of geospatial technology and machine learning in enhancing agricultural practices and promoting sustainable land resource management, setting the stage for more detailed discussions in subsequent sections.

Funding

Not mentioned in the provided text.

Citation

@article{Chaurasia2025Overview,
  author = {Chaurasia, Kuldeep and Yasmin, Ghazaala and Singh, Dharmendra},
  title = {Overview of geospatial technology and machine learning in agriculture},
  journal = {Elsevier eBooks},
  year = {2025},
  doi = {10.1016/b978-0-443-34113-7.00015-8},
  url = {https://doi.org/10.1016/b978-0-443-34113-7.00015-8}
}