Singh et al. (2026) Emerging Trends and Challenges in Remote Sensing for Irrigation of Horticultural Crops

⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.

Identification

• Journal: BENTHAM SCIENCE PUBLISHERS eBooks
• Year: 2026
• Date: 2026-05-03
• Authors: Rupinder Singh, Amanpreet Singh, Jaswinder Singh
• DOI: 10.2174/9798898813963126010005

Research Groups

Not specified

Short Summary

This study evaluates the application of remote sensing and AI in irrigation management for fruit and vegetable crops. The findings indicate that these technologies can enhance water use efficiency by 15–22%.

Objective

• To analyze how remote sensing tools and Artificial Intelligence (AI) can optimize irrigation scheduling and reduce water waste in agricultural production.

Study Configuration

• Spatial Scale: Field level (fruit and vegetable crops)
• Temporal Scale: Real-time monitoring

Methodology and Data

• Models used: Artificial Intelligence (AI)
• Data sources: Satellite imagery, drone-based sensors, ground sensors, and hyperspectral imaging

Main Results

• Water use efficiency was improved by 15–22% through precision irrigation.
• Hyperspectral imaging allows for the early detection of plant water stress.
• AI integration enables the synthesis of complex data into actionable irrigation schedules.
• Key barriers to adoption include high equipment costs, sensor reliability in adverse weather, and the complexity of data interpretation.

Contributions

The paper quantifies the water-saving potential of remote sensing in specialty crops and identifies the critical socio-economic and technical gaps that must be bridged for widespread implementation.

Funding

Not specified

Citation

@article{Singh2026Emerging,
  author = {Singh, Rupinder and Singh, Amanpreet and Singh, Jaswinder},
  title = {Emerging Trends and Challenges in Remote Sensing for Irrigation of Horticultural Crops},
  journal = {BENTHAM SCIENCE PUBLISHERS eBooks},
  year = {2026},
  doi = {10.2174/9798898813963126010005},
  url = {https://doi.org/10.2174/9798898813963126010005}
}