Abstract

With increasingly advanced remote sensing systems, more accurate retrievals of crop water status are being made at the individual crop level to aid in precision irrigation. This paper summarises the use of remote sensing for the estimation of water status in horticultural crops. The remote measurements of the water potential, soil moisture, evapotranspiration, canopy 3D structure, and vigour for water status estimation are presented in this comprehensive review. These parameters directly or indirectly provide estimates of crop water status, which is critically important for irrigation management in farms. The review is organised into four main sections: (i) remote sensing platforms; (ii) the remote sensor suite; (iii) techniques adopted for horticultural applications and indicators of water status; and, (iv) case studies of the use of remote sensing in horticultural crops. Finally, the authors’ view is presented with regard to future prospects and research gaps in the estimation of the crop water status for precision irrigation.

Highlights

  • Understanding the water status of crops is important for optimal management and application of water to accommodate for inter and intra-field variability to achieve a specific target, such as maximum water use efficiency, yield, quality, or profitability [1,2]

  • This paper provides a comprehensive review of the use of remote sensing to determine the water status of horticultural crops

  • One of our objectives was to survey the range of remote sensing tools available for irrigation decision-making

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Summary

Introduction

Understanding the water status of crops is important for optimal management and application of water to accommodate for inter and intra-field variability to achieve a specific target, such as maximum water use efficiency, yield, quality, or profitability [1,2]. Informed management of water resources whilst maintaining or increasing crop quality and yield are the primary goals of irrigation scheduling in horticulture. These goals can be achieved by improving our understanding of the water status of the crops at key phenological stages of development. Knowledge of crop water status allows growers to more efficiently schedule irrigation (i.e., when and how much water to apply) In this regard, UAS platforms provide a convenient methodology to monitor the water status across a farm, both spatially and temporally at the canopy level [31,32,33]. Two case studies of remote sensing in horticultural crops, grapevine and almond, are presented followed by an overview of the current research gaps and future prospects

Remote Sensing Platforms
Satellite Systems
Manned Aircraft System
Unmanned
Remote Sensor Types
Multispectral Camera
Some examples sensorsused usedon onaaUAS
Thermal
Multi-Sensor
Techniques
Techniques of Remote Sensing
Calibration and Correction of Remotely Sensed Images
Canopy Data Extraction
Indicators of Crop Water Status
Canopy Temperature
Normalised Thermal Indices
Spectral Indices
Soil Moisture
Physiological Attributes
Evapotranspiration
Case Studies on the Use of Remote Sensing for Crop Water Stress Detection
Future Prospective and Gaps in the Knowledge
Conclusions
A Downscaling Approach for SMOS Land Observations

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