Prediction of Chlorophyll Content in Wheat Leaves Using Hyperspectral Images

2010 ◽  
Author(s):  
Yankun Peng ◽  
Hui Huang ◽  
Wei Wang ◽  
Xiu Wang ◽  
Jianhu Wu ◽  
...  
Keyword(s):  
Chlorophyll Content ◽  
Hyperspectral Images ◽  
Wheat Leaves

scholarly journals Early Visual Detection of Wheat Stripe Rust Using Visible/Near-Infrared Hyperspectral Imaging

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 952 ◽  
Author(s):  
Zhifeng Yao ◽  
Yu Lei ◽  
Dongjian He
Keyword(s):  
Chlorophyll Content ◽  
Hyperspectral Imaging ◽  
Stripe Rust ◽  
Near Infrared ◽  
Visual Detection ◽  
Early Stage ◽  
Hyperspectral Images ◽  
Successive Projections Algorithm ◽  
Wheat Stripe Rust ◽  
Wheat Leaves

Wheat stripe rust is one of the most important and devastating diseases in wheat production. In order to detect wheat stripe rust at an early stage, a visual detection method based on hyperspectral imaging is proposed in this paper. Hyperspectral images of wheat leaves infected by stripe rust for 15 consecutive days were collected, and their corresponding chlorophyll content (SPAD value) were measured using a handheld SPAD-502 chlorophyll meter. The spectral reflectance of the samples were then extracted from the hyperspectral images, using image segmentation based on a leaf mask. The effective wavebands were selected by the loadings of principal component analysis (PCA-loadings) and the successive projections algorithm (SPA). Next, the regression model of the SPAD values in wheat leaves was established, based on the back propagation neural network (BPNN), using the full spectra and the selected effective wavelengths as inputs, respectively. The results showed that the PCA-loadings–BPNN model had the best performance, which modeling accuracy (RC2) and validation accuracy (RP2) were 0.921 and 0.918, respectively, and the RPD was 3.363. The number of effective wavelengths extracted by this model accounted for only 3.12% of the total number of wavelengths, thus simplifying the models and improving the rate of operation greatly. Finally, the optimal models were used to estimate the SPAD of each pixel within the wheat leaf images, to generate spatial distribution maps of chlorophyll content. The visualized distribution map showed that wheat leaves infected by stripe rust could be identified six days after inoculation, and at least three days before the appearance of visible symptoms, which provides a new method for the early detection of wheat stripe rust.

Measurement of Chlorophyll Content in Wheat Leaves Using Laser Scattering Image

2012 ◽  
Vol 485 ◽  
pp. 361-364
Author(s):  
Xiao Juan Zhang ◽  
Cui Hong Zhang ◽  
Yan Li
Keyword(s):  
Chlorophyll Content ◽  
Imaging System ◽  
Optical Parameters ◽  
Laser Scattering ◽  
Chlorophyll Contents ◽  
Spad Value ◽  
Functional Relations ◽  
Back Scattering ◽  
Scattering Image ◽  
Wheat Leaves

Laser back-scattering images of wheat leaves (green leaves, yellow leaves and dry leaves)are obtained with video imaging system, the optical parameters (absorption coefficient and reduced scatering coefficient)of the wheat leaves are reversed with diffusion approximation theory, the functional relations between optical parameters(at 670nm) and chlorophyll contents (SPAD value)of the leaves are studied. The results demonstrate that: wheat leaf optical parameters and chlorophyll content present linear correlation, it is feasible for determing plant chlorophyll content with laser back-scattering image technology. These researches are very valuable for diagnosis crop condition with the results of laser scattering image

scholarly journals Influence of mercury on chlorophyll content in winter wheat and mercury bioaccumulation

2010 ◽  
Vol 56 (No. 3) ◽  
pp. 139-143 ◽  
Author(s):  
D. Liu ◽  
X. Wang ◽  
Z. Chen ◽  
H. Xu ◽  
Y. Wang
Keyword(s):  
Winter Wheat ◽  
Chlorophyll Content ◽  
Inductively Coupled Plasma ◽  
Dry Weight ◽  
High Concentration ◽  
Field Mass ◽  
Wheat Growth ◽  
Inductively Coupled ◽  
Mercury Bioaccumulation ◽  
Wheat Leaves

Mercury (Hg) is one of the major pollutants in soils because of the annual import of toxic Hg into the agricultural lands. The aims of the present studies are to investigate the effect of Hg on chlorophyll content in winter wheat var. jinan No. 17. Moreover, calcium (Ca) levels and bioaccumulation of Hg in wheat leaves were studied with the technique of inductively coupled plasma sector field mass spectrometer (ICP-SF-MS). The study conducted a range of Hg concentrations from 0~500 mg Hg/kg in the dry weight soil. The soil was artificially contaminated with Hg as follows: 0, 100, 200, and 500 mg Hg/kg as HgCl<SUB>2</SUB>. At early stages of the wheat growth, both low and high concentration of Hg stimulates chlorophyll content, but inhibits chlorophyll content at later stages of the wheat growth. Furthermore, the concentrations of Ca and Hg in wheat leaves increased with the increasing concentration of Hg<SUP> </SUP>on the thirty-fourth day with the technique of ICP-SF-MS. The results indicate that Hg can accelerate the absorption of Ca in winter wheat and Hg stress may affect Ca levels in wheat leaves.

Fluorescent indices of oak and wheat leaves in dependence on chlorophyll content

2016 ◽  
Author(s):  
Olesya А. Kalmatskaya ◽  
Vladimir A. Karavaev ◽  
Lyudmila E. Gunar
Keyword(s):  
Chlorophyll Content ◽  
Wheat Leaves

scholarly journals SUPERDWARF WHEAT RESPONSES TO GRADIENT IRRADIANCE

HortScience ◽  
1996 ◽  
Vol 31 (6) ◽  
pp. 918D-918
Author(s):  
H. Biesinger ◽  
W.F. Campbell ◽  
T. Strickland ◽  
F.B. Salisbury ◽  
P.S. Hole ◽  
...  
Keyword(s):  
Leaf Area ◽  
Chlorophyll Content ◽  
Stomatal Density ◽  
Space Station ◽  
Shoot Biomass ◽  
Long Duration ◽  
Manned Space ◽  
Wheat Leaves ◽  
Stomatal Length ◽  
Wheat Tissue

The objectives of this research were to mimic the gradient irradiances to which wheat (Triticum aestivum L. cv. SuperDwarf) plants were exposed aboard the Russian space station Mir, and to determine whether these irradiances inhibit growth and floral development. SuperDwarf wheat plants were exposed to irradiances of 20–40, 60–80, 100–120, and 140–180 (PPF = μmol·cm–2·s–1) and grown to maturity. Twenty plants were randomly selected from each irradiance level and chlorophyll, total leaf area, shoot biomass, and total soluble leaf and plasma membrane (PM) proteins were recorded. Irradiance at increasing levels of intensity increased the fresh biomass, leaf area, chlorophyll content, and the total soluble PM and leaf proteins of wheat tissue. There were significant differences between the abaxial and adaxial sides of the wheat leaves in stomatal density, stomatal index, stomatal length and width, and number of stomata along 1-mm length of leaf. These data may be uniquely valuable for further studies of relationships between chlorophyll content, photosynthetic rate, and productivity of wheat grown aboard the Russian space station Mir, space missions of long duration, or future manned space stations to generate oxygen, purify water, remove carbon dioxide, produce food and recycle waste materials. (Supported by NASA Grant NCC 2-831 and the Utah Agr. Expt. Station.)

The Determination of Chlorophyll Content in Wheat Leaves by Chemometrics and Laser Induced Fluorescence Spectroscopy

2012 ◽  
Vol 6 (1) ◽  
pp. 672-675
Author(s):  
Dazhou Zhu ◽  
Qiong Wu ◽  
Zhihong Ma ◽  
Dongyan Zhang ◽  
Wenjiang Huang ◽  
...  
Keyword(s):  
Fluorescence Spectroscopy ◽  
Chlorophyll Content ◽  
Laser Induced Fluorescence ◽  
Wheat Leaves

scholarly journals Effect of leaf temperature on estimating physiological traits of wheat leaves from hyperspectral reflectance

2020 ◽  
Author(s):  
Hammad A Khan ◽  
Yukiko Nakamura ◽  
Robert T Furbank ◽  
John R Evans
Keyword(s):  
Chlorophyll Content ◽  
Leaf Traits ◽  
Leaf Temperature ◽  
Physiological Traits ◽  
Leaf Mass Per Area ◽  
Hyperspectral Reflectance ◽  
Wheat Varieties ◽  
Unit Leaf ◽  
Temperature Signal ◽  
Wheat Leaves

AbstractA growing number of leaf traits can be predicted from hyperspectral reflectance data. These include structural and compositional traits, such as leaf mass per area, nitrogen and chlorophyll content, but also physiological traits such a Rubisco carboxylation activity, electron transport rate and respiration rate. Since physiological traits vary with leaf temperature, how does this impact on predictions made from reflectance measurements? We investigated this with two wheat varieties, by repeatedly measuring each leaf through a sequence of temperatures imposed by varying the air temperature in a growth room. The function predicting Rubisco capacity normalised to 25 °C predicted the same value, regardless of leaf temperatures ranging from 20 to 35°C. Leaf temperature affected none of the predicted traits: Vcmax25, J, chlorophyll content, LMA, N content per unit leaf area or Vcmax25/N. However, as others have derived models to predict Rubisco activity that includes variation associated with leaf temperature, we discuss whether these functions may include a temperature signal within the reflectance spectra.

scholarly journals The effect of arid growing conditions on water deficit and chlorophyll content of the winter wheat varieties with various productivity

2020 ◽  
pp. 72-75
Author(s):  
V. A. Likhovidova ◽  
E. V. Ionova
Keyword(s):  
Winter Wheat ◽  
Chlorophyll Content ◽  
Water Deficit ◽  
Agricultural Research ◽  
Residual Water ◽  
Wheat Varieties ◽  
Study Results ◽  
Wheat Leaves ◽  
Growing Conditions ◽  
Winter Wheat Varieties

Relevance. The current paper has presented the study results of the effect of arid growing conditions on water deficit and foliage pigment (chlorophyll) of winter wheat varieties with various productivity.Methods. The study was conducted in 2017–2019. The objects of study were the winter durum wheat varieties ‘Eyrena’, ‘Yubilyarka’, ‘Yakhont’, ‘Yantarina’, ‘Oniks’, ‘Lazurit’ developed in the FSBSI “Agricultural Research Center “Donskoy”. There have been used such methods in the current study as the testing of varieties on drought tolerance in conditions of simulated drought (“zasushnik”) proposed by V.V. Maimistov (1988); the method of identification of chlorophyll content in winter wheat leaves proposed by I.G. Shmatko (1976); the method of identification of residual water deficit proposed by L.S. Litvinov (1988).Results. According to the study results there have been identified the most stable, productive winter wheat varieties ‘Yantarina’ and ‘Lazurit’, which possess mechanisms of adaptation to the water stress conditions. The varieties ‘Yantarina’ and ‘Lazurit’ also possess large productivity and chlorophyll content, as well as the smallest rise of residual water deficit in the increasing aridity with 169.7 and 159.5 g/m2, 1.4 and 1.9 mg/100 g of raw weight, 24.6 and 25.7%, respectively.

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