Vijaybhai et al. (2026) Advancing Smart Irrigation Practices in Small-Scale Agriculture by Combining Hyperspectral Remote Sensing with IoT Solutions

⚠️ 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: Suryavanshi Bhagyeshkumar Vijaybhai, Mohammad Sohail Pervez, Ramesh Chandra Nayak, Kirti Khandelwa, Shresthashree Swain, Akshata Musale
• DOI: 10.2174/9798898813963126010003

Research Groups

Not specified

Short Summary

The study proposes an integrated precision irrigation system combining hyperspectral remote sensing and IoT technology to optimize water management for small-scale farmers in India.

Objective

• To develop a cost-effective, targeted irrigation approach that leverages hyperspectral imagery and real-time sensor data to maximize crop productivity and conserve water resources for smallholder farmers.

Study Configuration

• Spatial Scale: Small-scale agricultural plots (typically $\le 2$ ha).
• Temporal Scale: Real-time monitoring and scheduling.

Methodology and Data

• Models used: IoT-based control system utilizing an ESP8266 microcontroller and a solar-powered epicyclic gear train arrangement.
• Data sources: Hyperspectral remote sensing imagery (for crop health and soil moisture distribution) and in-situ sensors (soil moisture content, relative humidity, and air dry bulb temperature).

Main Results

• Successfully integrated hyperspectral data with real-time IoT measurements to enable informed irrigation scheduling.
• Developed a programmable system capable of maintaining soil moisture at a target saturation level of 80%.
• Implemented a sustainable power solution using solar energy to drive the irrigation hardware.

Contributions

• Provides a scalable precision agriculture framework specifically tailored for marginal and smallholder farmers by merging high-resolution hyperspectral insights with low-cost IoT hardware.

Funding

Not specified

Citation

@article{Vijaybhai2026Advancing,
  author = {Vijaybhai, Suryavanshi Bhagyeshkumar and Pervez, Mohammad Sohail and Nayak, Ramesh Chandra and Khandelwa, Kirti and Swain, Shresthashree and Musale, Akshata},
  title = {Advancing Smart Irrigation Practices in Small-Scale Agriculture by Combining Hyperspectral Remote Sensing with IoT Solutions},
  journal = {BENTHAM SCIENCE PUBLISHERS eBooks},
  year = {2026},
  doi = {10.2174/9798898813963126010003},
  url = {https://doi.org/10.2174/9798898813963126010003}
}