Panda et al. (2026) Physics-based crop modeling for climate- and water-smart irrigation management

Identification

• Journal: Elsevier eBooks
• Year: 2026
• Date: 2026-09-18
• Authors: Rabindra Kumar Panda, Rajiv Kumar Srivastava
• DOI: 10.1016/b978-0-443-40513-6.00016-0

Research Groups

• Centre for Climate Smart Agriculture, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India
• Biological and Agricultural Engineering Department, Texas A&M University, College Station, TX, United States

Short Summary

This paper presents a physics-based crop modeling approach for climate- and water-smart irrigation management in agriculture. The study demonstrates the potential of precision technologies to optimize irrigation practices.

Objective

• Investigate the feasibility of using physics-based crop models for climate- and water-smart irrigation management in agriculture.

Study Configuration

• Spatial Scale: Global, with a focus on South Asia and sub-Saharan Africa.
• Temporal Scale: Long-term (2000-2020) and future projections (2050).

Methodology and Data

• Models used: Physics-based crop models.
• Data sources: Satellite data, observation data, and reanalysis datasets.

Main Results

• The study found that the frequency of agricultural droughts worldwide increased by 29% between 2000 and 2020.
• Climate change is projected to reduce rainfed crop yields in South Asia and sub-Saharan Africa by 8%-15% by 2050.
• Precision technologies can optimize irrigation practices, reducing water waste and improving crop productivity.

Contributions

• This study contributes to the development of climate- and water-smart irrigation management strategies using precision technologies.
• The research highlights the importance of considering climate change impacts on agriculture in developing countries.

Funding

• Not specified in the provided text.

Citation

@article{Panda2026Physicsbased,
  author = {Panda, Rabindra Kumar and Srivastava, Rajiv Kumar},
  title = {Physics-based crop modeling for climate- and water-smart irrigation management},
  journal = {Elsevier eBooks},
  year = {2026},
  doi = {10.1016/b978-0-443-40513-6.00016-0},
  url = {https://doi.org/10.1016/b978-0-443-40513-6.00016-0}
}