Diagnosing Crop Water Stress of Rice using Infra-red Thermal Imager under Water Deficit Condition

Xu, Junzeng; YuPing, Lv; Liu, Xiaoyin; Dalson, Twecan; ShiHong, Yang; Jia, Wu

doi:10.17957/ijab/15.0125

Cited by 25 publications

(29 citation statements)

References 41 publications

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“…The latter is a good indicator of cotton water stress and is preferable to transpiration rate. In addition, some studies have shown that relationship between CWSI and crop physiological indicators (stomatal conductance or transpiration rate) is non-linear [8,14,50,51]. In this paper, we further analyzed and pointed out that the relationship between CWSI and crop physiological indicators was a linear model, and to some extent, linear relationship was superior to non-linear model relationship.…”

Section: Discussionmentioning

confidence: 88%

Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery

et al. 2019

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Irrigation water management and real-time monitoring of crop water stress status can enhance agricultural water use efficiency, crop yield, and crop quality. The aim of this study was to simplify the calculation of the crop water stress index (CWSI) and improve its diagnostic accuracy. Simplified CWSI (CWSIsi) was used to diagnose water stress for cotton that has received four different irrigation treatments (no stress, mild stress, moderate stress, and severe stress) at the flowering and boll stage. High resolution thermal infrared and multispectral images were taken using an Unmanned Aerial Vehicle remote sensing platform at midday (local time 13:00), and stomatal conductance (gs), transpiration rate (tr), and cotton root zone soil volumetric water content (θ) were concurrently measured. The soil background pixels of thermal images were eliminated using the Canny edge detection to obtain a unimodal histogram of pure canopy temperatures. Then the wet reference temperature (Twet), dry reference temperature (Tdry), and mean canopy temperature (Tl) were obtained from the canopy temperature histogram to calculate CWSIsi. The other two methods of CWSI evaluation were empirical CWSI (CWSIe), in which the temperature parameters were determined by measuring natural reference cotton leaves, and statistical CWSI (CWSIs), in which Twet was the mean of the lowest 5% of canopy temperatures and Tdry was the air temperature (Tair) + 5 °C. Compared with CWSIe, CWSIs and spectral indices (NDVI, TCARI, OSAVI, TCARI/OSAVI), CWSIsi has higher correlation with gs (R2 = 0.660) and tr (R2 = 0.592). The correlation coefficient (R) for θ (0–45 cm) and CWSIsi is also high (0.812). The plotted high-resolution map of CWSIsi shows the different distribution of cotton water stress in different irrigation treatments. These findings demonstrate that CWSIsi, which only requires parameters from a canopy temperature histogram, may potentially be applied to precision irrigation management.

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Section: Discussionmentioning

confidence: 88%

Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery

et al. 2019

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“…The user must also bear in mind that relationships between thermal readings and water-stress-related physiological variables must be determined to properly evaluate the information provided by thermal imagery [66,75]. The literature provides examples on the use of ground-based thermal imagery to detect water status changes in a variety of plants, from ornamental [76] to herbaceous [59,77] and woody crops [57,68,78].…”

Section: Ground-based Imagerymentioning

confidence: 99%

Plant-Based Methods for Irrigation Scheduling of Woody Crops

Fernández

2017

Horticulturae

139

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Abstract:The increasing world population and expected climate scenarios impel the agricultural sector towards a more efficient use of water. The scientific community is responding to that challenge by developing a variety of methods and technologies to increase crop water productivity. Precision irrigation is intended to achieve that purpose, through the wise choice of the irrigation system, the irrigation strategy, the method to schedule irrigation, and the production target. In this review, the relevance of precision irrigation for a rational use of water in agriculture, and methods related to the use of plant-based measurements for both the assessment of plant water stress and irrigation scheduling, are considered. These include non-automated, conventional methods based on manual records of plant water status and gas exchange, and automated methods where the related variable is recorded continuously and automatically. Thus, the use of methodologies based on the Scholander chamber and portable gas analysers, as well as those of systems for measuring sap flow, stem diameter variation and leaf turgor pressure, are reviewed. Other methods less used but with a potential to improve irrigation are also considered. These include those based on measurements related to the stem and leaf water content, and to changes in electrical potential within the plant. The use of measurements related to canopy temperature, both for direct assessment of water stress and for defining zones with different irrigation requirements, is also addressed. Finally, the importance of choosing the production target wisely, and the need for economic analyses to obtain maximum benefit of the technology related to precision irrigation, are outlined.

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“…Infrared thermal imaging was used to identify drought-tolerant lentil genotypes, validating it as a high-throughput screening tool in plants (Biju et al 2018). In addition, the thermal imaging was proven to be a reliable method for water deficit diagnosis by measuring the canopy temperature (Xu et al 2015). Hyperspectral imaging, another nondestructive technique, is widely used in agriculture (Lowe et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Differential response of growth and photosynthesis in diverse cotton genotypes under hypoxia stress

Pan¹,

Jiang²,

Wang³

et al. 2019

Photosynt.

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The objectives of the present study were to compare the dynamic of the growth and photosynthetic characteristics of cotton varieties contrasting in waterlogging (WL) tolerance when subjected to hypoxia stress. The growth of the WL-sensitive genotypes was notably inhibited by WL, mainly as a result of a significant reduction in the net photosynthesis (PN) after two days of hypoxia treatment; in the tolerant varieties, no significant changes in PN were observed until 8 d after hypoxia onset. The intercellular CO2 concentration and maximal photochemical efficiency of PSII significantly declined, and the nonphotochemical quenching increased in the sensitive varieties. Infrared thermography showed that a low stomatal conductance resulted in an increased leaf temperature under hypoxia stress. Spectral image analysis suggested that the pigment content and water content rapidly decreased in the leaves of the sensitive varieties. It is concluded that maintaining stomatal opening through the interaction of ethylene and abscisic acid may be an important strategy to improve waterlogging tolerance in cotton.Additional key words: chlorophyll fluorescence; Gossypium hirsutum; hyperspectral image; infrared thermal image. Abbreviations: Ci -intercellular CO2 concentration; E -transpiration rate; Fv/Fm -optimal/maximal quantum yield of PSII; gs -stomatal conductance; NDWI -normalized difference water index; NPQ -nonphotochemical quenching coefficient; PN -net photosynthetic rate; PSSRa -pigment ratio index a; qp -photochemical quenching coefficient. Acknowledgement: We appreciate the contribution of C. Li and Y.W. Nong on experimental execution. We thank to The National Natural Science Fund (No. 31471496) for financial support.

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Diagnosing Crop Water Stress of Rice using Infra-red Thermal Imager under Water Deficit Condition

Cited by 25 publications

References 41 publications

Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery

Simplified Evaluation of Cotton Water Stress Using High Resolution Unmanned Aerial Vehicle Thermal Imagery

Plant-Based Methods for Irrigation Scheduling of Woody Crops

Differential response of growth and photosynthesis in diverse cotton genotypes under hypoxia stress

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