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Automatic Crop Canopy Temperature Measurement Using a Low-Cost Image-Based Thermal Sensor: Application in a

Jaime Giménez-Gallego¹, Juan D González-Teruel¹, Pedro J Blaya-Ros²

¹Department of Automation Engineering, Electrical Engineering and Electronic Technology, Technical University of Cartagena, Campus Muralla del Mar s/n, E-30202 Cartagena, Spain.

Sensors (Basel, Switzerland)

|March 30, 2023

Summary

A new low-cost thermal sensor effectively monitors pomegranate tree water stress using canopy temperature. This technology supports regulated deficit irrigation (RDI) strategies in water-scarce regions.

Keywords:

Infrared Radiometer crop water stress deficit irrigation image segmentation precision agriculture thermography

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Area of Science:

Agricultural Engineering
Plant Physiology
Remote Sensing

Background:

Water scarcity necessitates efficient irrigation strategies like regulated deficit irrigation (RDI) for fruit trees.
Accurate monitoring of crop water status is crucial for successful RDI implementation.
Crop canopy temperature serves as a key indicator of plant water stress.

Purpose of the Study:

To evaluate a novel, low-cost thermal sensor for monitoring crop canopy temperature.
To compare the performance of this sensor against a commercial Infrared Radiometer (IR).
To assess the sensor's suitability for irrigation management in arid environments.

Main Methods:

Field testing of a thermographic imaging-based thermal sensor on pomegranate trees ('Wonderful').
Continuous measurement of canopy temperature using the experimental sensor and a commercial IR.
Statistical analysis to determine the correlation between the two sensor types.

Main Results:

A high correlation (R² = 0.976) was observed between the low-cost thermal sensor and the commercial IR.
The experimental sensor accurately captured crop canopy temperature variations.
The results demonstrate the sensor's reliability in monitoring plant water status.

Conclusions:

The low-cost thermal sensor is a suitable and effective tool for monitoring crop canopy temperature.
This technology can be a valuable asset for optimizing irrigation management and water productivity.
The findings support the adoption of affordable sensor technologies for precision agriculture in water-limited areas.