Development and evaluation of thermal infrared imaging system for high spatial and temporal resolution crop water stress monitoring of corn within a greenhouse

Mangus, Devin L.; Sharda, Ajay; Zhang, Naiqian

doi:10.1016/j.compag.2015.12.007

Cited by 82 publications

(49 citation statements)

References 34 publications

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“…Nowadays, thermal imaging systems are used in a wide range of applications, such as archaeological heritage documentation (Brumana et al, 2013), landslide hazard assessment (Teza et al, 2015), crop health monitoring (Mangus et al, 2016) and photovoltaic plants inspection (Tsanakas et al, 2017). Thermographic cameras are increasingly becoming important also in buildings diagnostics.…”

Section: Introductionmentioning

confidence: 99%

Photogrammetric 3d Building Reconstruction From Thermal Images

Maset

Fusiello

Crosilla

et al. 2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:This paper addresses the problem of 3D building reconstruction from thermal infrared (TIR) images. We show that a commercial Computer Vision software can be used to automatically orient sequences of TIR images taken from an Unmanned Aerial Vehicle (UAV) and to generate 3D point clouds, without requiring any GNSS/INS data about position and attitude of the images nor camera calibration parameters. Moreover, we propose a procedure based on Iterative Closest Point (ICP) algorithm to create a model that combines high resolution and geometric accuracy of RGB images with the thermal information deriving from TIR images. The process can be carried out entirely by the aforesaid software in a simple and efficient way.

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Section: Introductionmentioning

confidence: 99%

Photogrammetric 3d Building Reconstruction From Thermal Images

Maset

Fusiello

Crosilla

et al. 2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Thermography is able to provide temperatures of a region, offering an opportunity to directly monitor the global variations, especially in the UAV measurement. However, the region of interested of thermal image was determined manually in general [127] , and the view field of sensors also has an effect on the measurement of canopy temperature [134] and the resolution of thermal resolution need to be improved. Although some spectral indices were closely related to water potential and stomatal conductance, canopy temperature and relevant parameters were still recommended as the best indicators of water stress [133,135] .…”

Section: Comparison and Analysis Of Water Stress Measurementsmentioning

confidence: 99%

“…In addition, thermal image resolution plays an important role in eliminating inaccurate temperatures, especially the temperatures correlated to the edge pixels that contain both canopy and background [117] . Infrared thermography can be applied on vehicle-based [123] , UAV [118,126] and greenhouse [127] . Thermal images of plant and environmental parameters were collected synchronously, and thermal images need to be calibrated with radiometric correction.…”

Section: Water Stress Measurementsmentioning

confidence: 99%

“…After canopy temperatures were calculated, CWSI, LWP, vapour pressure deficit (VPD) and other parameters would be applied to evaluate plant water stress ( Figure 9). Figure 9 Spatial CWSI images [127] 4.2.3 Water stress measurement based on spectral sensors and cameras Researches was conducted by Buitrago et al [128] to investigate the changes in thermal infrared spectra of plants caused by water or temperature stress. They found that water stress and temperature stress created a similar spectral response, the emissivity in mid-infrared decreased with water loss.…”

Section: Water Stress Measurementsmentioning

confidence: 99%

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Sensors for measuring plant phenotyping: A review

Qiu¹,

Wei²,

Zhang³

et al. 2018

International Journal of Agricultural and Biological Engineering

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Food crisis is a matter of prime importance because it becomes more severe as the global population grows. Among the solutions to this crisis, breeding is deemed one of the most effective ways. However, traditional phenotyping in breeding is time consuming and laborious, and the database is insufficient to meet the requirements of plant breeders, which hinders the development of breeding. Accordingly, innovations in phenotyping are urgent to solve this bottleneck. The morphometric and physiological parameters of plant are particularly interested to breeders. Numerous sensors have been employed and novel algorithms have been proposed to collect data on such parameters. This paper presents a brief review on the parameter measurement for phenotyping to describe its development in recent years. Some parameters that have been measured in phenotyping are introduced and discussed, including plant height, leaf parameters, in-plant space, chlorophyll, water stress, and biomass. And the measurement methods of each parameter with different sensors were classified and compared. Some comprehensive measurement platforms were also summarized, which are able to measure several parameters simultaneously. Besides, some deficiencies of phenotyping should be addressed, and novel methods should be proposed to reduce cost, improve efficiency, and promote phenotyping in the future.

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“…Mangus et al [186] considered the time changes of IR for monitoring corn water stress at high spatial and temporal resolution for managing irrigation water within large agricultural production systems. In the 80-day study, they observed a statistical decrease in soil moisture "only when the CWSI value increased past 0.6 with 82% of soil moisture variation explained by the CWSI".…”

Section: Si Cwsi = (T Leaf − T Wet )/(T Dry − T Wet )mentioning

confidence: 99%

Remote Sensing for Irrigation of Horticultural Crops

Alvino

Marino

2017

Horticulturae

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This paper reviews the literature on applications of remote sensing for monitoring soil-and crop-water status for irrigation purposes. The review is organized into two main sections: (1) sensors and platforms applied to irrigation studies and (2) remote sensing approaches for precision irrigation to estimate crop water status, evapotranspiration, infrared thermography, soil and crop characteristics methods. Recent literature reports several remote sensing (RS) approaches to monitor crop water status in the cultivated environment. Establishing the right amount of water to supply for different irrigation strategies (maximization of yield or water use efficiency (WUE)) for a large number of crops is a problem that remains unresolved. For each crop, it will be necessary to create a stronger connection between crop-water status and crop yield.

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Development and evaluation of thermal infrared imaging system for high spatial and temporal resolution crop water stress monitoring of corn within a greenhouse

Cited by 82 publications

References 34 publications

Photogrammetric 3d Building Reconstruction From Thermal Images

Photogrammetric 3d Building Reconstruction From Thermal Images

Sensors for measuring plant phenotyping: A review

Remote Sensing for Irrigation of Horticultural Crops

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