Challenges in Water Stress Quantification Using Small Unmanned Aerial System (sUAS): Lessons from a Growing Season of Almond

Zhao, Tiebiao; Stark, Brandon; Chen, YangQuan; Ray, Andrew L.; Doll, David

doi:10.1007/s10846-017-0513-x

Cited by 36 publications

(25 citation statements)

References 20 publications

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“…In the context of precision agriculture, the application of UAS, their future prospects, and knowledge gaps are discussed in [53,[78][79][80][81]. While many horticultural crops have been studied using UAS technology, the most studied horticultural crops are vineyards [31,[82][83][84], citrus [85,86], peach [32,33], olive [18,87,88], pistachio [89,90], and almond [91][92][93][94], among others [95][96][97][98][99]. Some of the UAS types used for water status studies of horticultural crops are shown in Figure 2.…”

Section: Unmanned Aircraft Systemsmentioning

confidence: 99%

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

Gautam

Pagay

2020

Agronomy

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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.

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Section: Unmanned Aircraft Systemsmentioning

confidence: 99%

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

Gautam

Pagay

2020

Agronomy

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“…In this approach, different spectral cameras (e.g. RGB, multispectral, hyperspectral, thermal) can be installed on UAV for various applications including water stress assessment [8,9]. This work is mainly focused on evaluating the usability of remote sensing RGB imagery by a small UAV of low altitude in assessing wheat drought status.…”

Section: Introductionmentioning

confidence: 99%

Wheat Drought Assessment by Remote Sensing Imagery Using Unmanned Aerial Vehicle

Coombes

Liu

et al. 2018

2018 37th Chinese Control Conference (CCC)

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This work aims at evaluating the usability of remote sensing RGB imagery by an Unmanned Aerial Vehicle (UAV) in assessing wheat drought status. A UAV survey is conducted to collect high-resolution RGB imageries by using DJI S1000 for the experimental wheat fields of Gucheng town, Heibei Province, China. The soil moisture for different plots of the experimental filed is kept at an approximately constant level for the whole growing season in a well controlled environment, where field measurements are performed just after the UAV survey to obtain the soil water content for each plot. A machine learning based wheat drought assessment framework is proposed in this work. In the proposed framework, wheat pixels are first segmented from the soil background using the classical normalized excess green index (NExG). Rather than using pixel-wise classification, a pixel square of appropriate dimension is defined as the samples, based on which various features are extracted for the wheat pixels including statistical features and spectral index features. Different classification algorithms are experimented to identify a suitable one in terms of classification accuracy and computation time. It is discovered that Support Vector Machine with Gaussian kernel can obtain an accuracy over 90%, which demonstrates the usefulness of RGB imagery in wheat drought assessment.

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“…With the help of UAVs, canopy NDVI showed good correlation with SWP without average pixels calculation in an orchard level. In addition, the prediction result also provides a potential for water stress quantification (Zhao et al 2017 (Caruso et al 2019).…”

Section: Resource Efficiency Evaluationmentioning

confidence: 98%

“…Fruit crops are often exposed to water stress when water evaporates more than the amount stored in the soil, which leads to stomata closing and crops growth diminishing (Zhao et al 2017). Stomatal conductance is an indicator of water stress.…”

Section: Resource Efficiency Evaluationmentioning

confidence: 99%

Opportunities of Uavs in Orchard Management

Zhang

Valente

Kooistra

et al. 2019

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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<p><strong>Abstract.</strong> The growth process of fruit trees is accompanied by a large number of monitoring and management activities, such as pruning, irrigation, fertilization, spraying, and harvesting, which are labour intensive and time consuming. In the context of precision agriculture, automation and precision orchard management not only saves labour resources and increases the income of growers, but also has great significance in improving resource utilization. Recent technological developments enable Unmanned Aerial Vehicles (UAVs, also commonly referred to as Unmanned Aerial Systems, or ‘drones’) to become an efficient monitoring tool for improving orchard management, that can provide growers much more detailed and precise information about fruit crops health status, geometric variables, physiological variables etc. This paper reviews the use of UAVs in orchard management, with a focus on recent UAV applications, synthetically describing the existing situation (e.g., general data processing approaches, sensing platform and sensor uploaded). The challenges and prospects of UAVs opportunities in orchard management are also summarized.</p>

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Challenges in Water Stress Quantification Using Small Unmanned Aerial System (sUAS): Lessons from a Growing Season of Almond

Cited by 36 publications

References 20 publications

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

A Review of Current and Potential Applications of Remote Sensing to Study the Water Status of Horticultural Crops

Wheat Drought Assessment by Remote Sensing Imagery Using Unmanned Aerial Vehicle

Opportunities of Uavs in Orchard Management

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