Plant water stress detection based on aerial and terrestrial infrared thermography: a study case from vineyard and olive orchard

Poblete-Echeverría, Carlos; Sepulveda-Reyes, D.; Ortega-Farías, Samuel; Zúñiga, María del Carmén; Fuentes, Sigfredo

doi:10.17660/actahortic.2016.1112.20

Cited by 23 publications

(20 citation statements)

References 14 publications

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“…Sepulcre-Cantoí et al (2006) detected differences close to 2 • C by using infrared sensors installed 1 m above the olive crown. Poblete-Echeverría et al (2016), in a study developed in 'Arbequina' trees, registered temperature differences around 4-5 • C, at the moments of maximum stress level (« s < −5 MPa). Other authors such as Testi et al (2008) in Pistachio, García-Tejero et al (2011) in citrus trees, andGarcía-Tejero et al (2016) in vines reported temperature differences of 2-6 • C between fully irrigated and stressed trees.…”

Section: Diurnal Evolution Of Canopy Temperature and Related Thermal mentioning

confidence: 98%

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Assessing plant water status in a hedgerow olive orchard from thermography at plant level

García-Tejero

Hernández

Padilla‐Díaz

et al. 2017

Agricultural Water Management

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a b s t r a c tWater scarcity is the most limiting factor in many irrigated areas of Mediterranean countries such as South Spain. Olive growing has been traditionally associated to rain-fed agriculture, although irrigation and practices related to intensive agriculture have been progressively introduced, requiring a more precise irrigation scheduling to save water. Thermal imaging is among the alternatives to assess the crop water status, especially when deficit irrigation (DI) strategies are applied. However, this technique requires of new advances to be more user friendly and robust for practical usage. The aims of this study were: i) to define threshold values of canopy temperature (T C ), Crop Water Stress Index (CWSI) and the temperature difference between canopy and the surrounding air ( T canopy-air ) for the assessment of the olive water status when a DI strategy is applied; ii) to define the best time of the day and the best area of the canopy to carry out thermal measurements, and iii) to obtain relationships between thermal indicators and main physiological parameters useful to estimate the crop water status from thermal data. The trial was conducted during 2015, in a hedgerow olive orchard (SW Spain) with 8-year-old trees (Olea europaea L., cv. Arbequina), under three irrigation regimes: a full-irrigation treatment (FI) and two regulated deficit irrigation treatments aimed to supplying 45% of the irrigation needs. In one of them, irrigation was scheduled from leaf turgor pressure related measurements (45RDI TP ). In the other, the crop coefficient approach was used to schedule irrigation (45RDI CC ). Significant correlations between Tc versus stem water potential (« st ) and leaf gas-exchange parameters (stomatal conductance to water vapour, g s ; net CO 2 assimilation, A N ; transpiration, E) were obtained (p ≤ 0.05), in particular from measurements taken at 10:30 GMT in the lower part of the sunlit side of the canopy. Moreover, the relationships between both T canopy-air and CWSI with the monitored physiological variables were very robust. We concluded that values of T canopy-air higher than 0 • C and values of CWSI up to 0.2 reliably reflect the plant water stress. Our results, therefore, suggest that both T canopy-air and CWSI measured at midday provide reliable information on the tree water status and are useful to schedule irrigation in hedgerow olive orchards, especially under DI conditions.

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Section: Diurnal Evolution Of Canopy Temperature and Related Thermal mentioning

confidence: 98%

“…In fact, their use is based on destructive, non-continuous, high labour-and time-consuming measurements. Something similar occurs with gas-exchange measurements, such that they are more widely used with research purposes than in commercial orchards (Poblete-Echeverría et al, 2016).…”

Section: Introductionmentioning

confidence: 95%

Assessing plant water status in a hedgerow olive orchard from thermography at plant level

García-Tejero

Hernández

Padilla‐Díaz

et al. 2017

Agricultural Water Management

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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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“…Beyond mapping tree macroscopic properties, though, VHR MS imagery allows the detection or even identification of tree stress or infections from a variety of sources. Reference [5] realised a method able to recognise water availability and thus water stress in olive plantations using thermal aerial images from UAV; objects of interest were classified using programming in MatLab R2009a.…”

Section: Introductionmentioning

confidence: 99%

Olive Plantation Mapping on a Sub-Tree Scale with Object-Based Image Analysis of Multispectral UAV Data; Operational Potential in Tree Stress Monitoring

Karydas¹,

Gewehr²,

Iatrou³

et al. 2017

J. Imaging

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Abstract:The objective of this study was to develop a methodology for mapping olive plantations on a sub-tree scale. For this purpose, multispectral imagery of an almost 60-ha plantation in Greece was acquired with an Unmanned Aerial Vehicle. Objects smaller than the tree crown were produced with image segmentation. Three image features were indicated as optimum for discriminating olive trees from other objects in the plantation, in a rule-based classification algorithm. After limited manual corrections, the final output was validated by an overall accuracy of 93%. The overall processing chain can be considered as suitable for operational olive tree monitoring for potential stresses.

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Plant water stress detection based on aerial and terrestrial infrared thermography: a study case from vineyard and olive orchard

Cited by 23 publications

References 14 publications

Assessing plant water status in a hedgerow olive orchard from thermography at plant level

Assessing plant water status in a hedgerow olive orchard from thermography at plant level

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

Olive Plantation Mapping on a Sub-Tree Scale with Object-Based Image Analysis of Multispectral UAV Data; Operational Potential in Tree Stress Monitoring

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