Using Infrared Sensor for Large Area Canopy Total Temperature Measurements of Rice Plants

Wang, M.; Dong, Daming; Zheng, W.; Jiao, Leizi; Zhao, Xia; Zhao, Chunjiang

doi:10.13031/2013.42524

Cited by 11 publications

(9 citation statements)

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“…Plot wise canopy temperature measurement using portable IR FlexCam ® S seems highly advanced and reliable for screening drought tolerant genotypes in field condition in comparison to leaf based canopy temperature measurement using commercial infrared thermometers (Berger et al, 2010;Wang et al, 2013) as the thermal camera captures the whole crop canopies of many plants in a plot helping to minimize the sampling error compared to spot measurements (Kashiwagi et al, 2008). Other additional advantages are simultaneous measurement of the crop canopy area by the camera and the associated software that helps to quantify the range and mean canopy temperature and to remove the background (soil) temperature.…”

Section: Discussionmentioning

confidence: 99%

Association of mid-reproductive stage canopy temperature depression with the molecular markers and grain yields of chickpea (Cicer arietinum L.) germplasm under terminal drought

Ramamoorthy

Thudi

Krishnamurthy

et al. 2015

Field Crops Research

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a b s t r a c tCanopy temperature depression (CTD) has been used to estimate crop yield and drought tolerance. However, when to measure CTD for the best breeding selection efficacy has seldom been addressed. The objectives of this study were to evaluate CTD as a drought response measure, identify suitable crop stage for measurement and associated molecular markers. CTD was measured using an infrared camera on 59, 62, 69, 73, 76 and 82 days after sowing (DAS) and the grain yield, shoot biomass and harvest index (%). CTD recorded at 62 DAS was positively associated with the grain yield by 40% and shoot biomass by 27% and such association diminished gradually to minimum after 76 DAS. Moreover, CTD at 62 DAS also showed similar positive association with the grain yield recorded in two previous years (r = 0.45***, 0.42***). Genome-wide and candidate gene based association analysis had revealed the presence of nine SSR, 11 DArT and three gene-based markers that varied across the six stages of observation. Two SSR markers were associated with CTD through crop phenology or grain yield while the rest were associated only with CTD for computing marker-trait associations (MTAs). The phenotypic variation explained by the markers was the highest at 62 DAS. These results confirm the importance of continued transpiration and the ability of the roots to supply stored soil water under terminal drought. The selection for grain yield through CTD is done best 15 days after the mean flowering time.

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Section: Discussionmentioning

confidence: 99%

Association of mid-reproductive stage canopy temperature depression with the molecular markers and grain yields of chickpea (Cicer arietinum L.) germplasm under terminal drought

Ramamoorthy

Thudi

Krishnamurthy

et al. 2015

Field Crops Research

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“…20 Gbit/s and 40 Gbit/s clock recovery is demonstrated using AFL structure in Refs. [60,61], the results show that AFL is a good candidate for optical clock recovery. 4) Clock recovery based on Fabry-Perot (F-P) cavity Optical F-P has the properties of storing energy and releasing energy periodically, so it can be used to clock recovery [62][63][64][65][66][67].…”

Section: ) Clock Recovery Based On Self-pulsating Semiconductor Lasermentioning

confidence: 86%

“…Using self-pulsating laser to achieve clock recovery has been presented in Refs. [58][59][60][61]. The characterization of the clock recovery properties of a self-pulsating, threesection distributed feedback (DFB) laser is presented in Ref.…”

Section: ) Clock Recovery Based On Self-pulsating Semiconductor Lasermentioning

confidence: 99%

All-optical signal processing based on semiconductor optical amplifiers

Liu

Chen

et al. 2011

Front. Optoelectron. China

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In this paper, we review the recent progress in the optical signal processing based on the nonlinearity of semiconductor optical amplifiers (SOAs). The four important optical signal processing functional blocks in optical switching are presented, i.e., optical wavelength conversion, optical regeneration, optical logic, and optical format conversion. We present a brief overview of optical wavelength conversion, and focus on various schemes to suppress the slow gain recovery of the SOA and improve the operating speed of the SOA-based optical switches. Optical regeneration including re-amplification, re-shaping and re-timing is also presented. Optical clock recovery that is essential for optical regeneration is reviewed. We also report the recent advances in optical logic and optical format conversion, respectively. After reviewing the four important optical signal processing functional blocks, the review concludes with the future research directions and photonic integration.

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“…Most of the plant canopy and soil temperature measurements currently employed use contact probes or thermometers [ 7 , 8 , 9 ] and non-contact type hand-held infrared thermometers [ 10 , 11 , 12 , 13 ]. Brinkhoff et al [ 7 ] presented the use of multisensory capacitance probes for the simultaneous monitoring of ponded water level, soil moisture, and temperature profile for soil water content monitoring and irrigation scheduling.…”

Section: Introductionmentioning

confidence: 99%

“…The contact probes showed good performance in terms of cost, accuracy, and reliability; however, it is time-consuming and labor-intensive and thus excessively costly if it needs to be repeated multiple times in a season. Wang et al [ 13 ] proposed using an inexpensive infrared optical sensor for reliable and precise canopy temperature measurements in a large rice field; however, errors due to environmental effects were not considered in the study, and because these non-contact sensors were also non-imaging sensors, they had low spatial detail and did not provide much information about variability across the field. It is possible to extract field variability and crop status information via satellite and aerial thermal remote sensing [ 14 , 15 , 16 , 17 ] by analyzing the spatial temperature patterns from images.…”

Section: Introductionmentioning

confidence: 99%

Field-Based Calibration of Unmanned Aerial Vehicle Thermal Infrared Imagery with Temperature-Controlled References

Han

Thomasson

Swaminathan

et al. 2020

Sensors

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Accurate and reliable calibration methods are required when applying unmanned aerial vehicle (UAV)-based thermal remote sensing in precision agriculture for crop stress monitoring, irrigation planning, and harvesting. The primary objective of this study was to improve the calibration accuracies of UAV-based thermal images using temperature-controlled ground references. Two temperature-controlled ground references were installed in the field to serve as high- and low-temperature references, approximately spanning the expected range of crop surface temperatures during the growing season. Our results showed that the proposed method using temperature-controlled references was able to reduce errors due to ambient conditions from 9.29 to 1.68 °C, when tested with validation panels. There was a significant improvement in crop temperature estimation from the thermal image mosaic, as the error reduced from 14.0 °C in the un-calibrated image to 1.01 °C in the calibrated image. Furthermore, a multiple linear regression model (R2 = 0.78; p-value < 0.001; relative RMSE = 2.42%) was established to quantify soil moisture content based on canopy surface temperature and soil type, using UAV-based thermal image data and soil electrical conductivity (ECa) data as the predictor variables.

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Using Infrared Sensor for Large Area Canopy Total Temperature Measurements of Rice Plants

Cited by 11 publications

References 0 publications

Association of mid-reproductive stage canopy temperature depression with the molecular markers and grain yields of chickpea (Cicer arietinum L.) germplasm under terminal drought

Association of mid-reproductive stage canopy temperature depression with the molecular markers and grain yields of chickpea (Cicer arietinum L.) germplasm under terminal drought

All-optical signal processing based on semiconductor optical amplifiers

Field-Based Calibration of Unmanned Aerial Vehicle Thermal Infrared Imagery with Temperature-Controlled References

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