Identification of the Citrus Greening Disease Using Spectral and Textural Features Based on Hyperspectral Imaging.

In this paper we discussed the application of spectral and textural features in identifying early stage of the citrus greening disease (Huanglongbing or HLB). A total of 176 hyperspectral images of citrus leaves (60 for healthy, 60 for HLB-infected and 56 for zinc-deficient) were captured by using a near-ground hyperspectral imaging system. Regions of interest (ROI) were extracted manually from the part of pathological changes in the images to calculate the average reflectance spectra of each sample as the sample spectra, ranging from 396 to 1 010 nm.

[Detection of citrus greening based on Vis-NIR spectroscopy and spectral feature analysis].

In the present paper we discussed the methods of classification of citrus greening and extraction of spectral features based on the spectral reflectance of four different statuses of citrus leaves (healthy, HLB, iron deficiency and nitrogen deficiency). Between two classes of classification, the values of discriminability of different spectra were calculated to extract spectral features. The greater value of discriminability showed a bigger difference of the two spectra, which means it would be easier to distinguish the two classes.

High efficient expression of bioactive human BMP-14 in E. coli using SUMO fusion partner.

Bone morphogenetic proteins (BMPs) are cytokines from the TGF-β superfamily, with important roles during embryonic development and in the induction of bone and cartilage tissue differentiation in the adult body. In this contribution, We report here the application of small ubiquitin-related modifier (SUMO) fusion technology to the expression and purification of human BMP-14. The fusion protein expressed in a soluble form was purified to a purity of 90% by Ni-IDA chromatography.

[Study of building quantitative analysis model for chlorophyll in winter wheat with reflective spectrum using MSC-ANN algorithm].

Preprocess method of multiplicative scatter correction (MSC) was used to reject noises in the original spectra produced by the environmental physical factor effectively, then the principal components of near-infrared spectroscopy were calculated by nonlinear iterative partial least squares (NIPALS) before building the back propagation artificial neural networks method (BP-ANN), and the numbers of principal components were calculated by the method of cross validation. The calculated principal components were used as the inputs of the artificial neural networks model, and the artificial neural networks model was used to find the relation between chlorophyll in winter wheat and reflective spectrum, which can predict the content of chlorophyll in winter wheat. The correlation coefficient (r) of calibration set was 0.

[Study of quantitative analysis of protein in barley using OSC-PLS algorithm].

Spectra of barley containing vast information were obtained with the dispersion spectrograph. The contents of protein in barley were determined by dispersive near infrared (NIR) spectroscopy. Pretreatment method of orthogonal signal correction (OSC) was used to reject uncorrelated variables in the original spectra before building the partial least squares NIR method (OSC-PLS).

[Application study of ant colony algorithm in near infrared spectroscopy quantitative analysis].

Ant colony algorithm is a novel bio-inspired optimization algorithm, which simulates the foraging behavior of ants for solving various complex combinatorial optimization problems. The advantages of ant colony algorithm are intelligent search, global optimization, robustness, distributed computation and easy combination with other heuristic method. Near infrared spectroscopy quantitative analysis has been applied in many fields, whereas the key step is building the calibration model of measured data.

[Estimations of chlorophyll and water contents in live leaf of winter wheat with reflectance spectroscopy].

For estimating the yield of wheat, and for crop growth monitoring by using hyperspectral remote sensing, it is very important to quantitatively determine the chlorophyll and water contents in live leaf of winter wheat. In the range of 350-1650 nm, the reflectance spectrum of winter wheat's leaf in different growth periods were scanned by ASD FieldSpec Pro FR portable spectrometer and LI-COR 1800 integrating spheres. Partial least squares method was used to develop the quantitative analysis models for chlorophyll and water contents with reflectance spectroscopy.

[Simultaneous determination of glucose, fructose and sucrose in aqueous solution by short-wavelength near infrared spectroscopy].

The calibration model for simultaneous determination of glucose, fructose and sucrose in aqueous solution was built by partial least squares and short-wavelength near infrared spectroscopy (800-1,100 nm). Twenty five samples in calibration set and 9 samples in prediction set were designed by orthogonal design. Building models from calibration set and validation for prediction set obtained the better results.

[Building artificial neural networks model on portable NIR integrity wheat component measuring apparatus].

The quantitative analysis model of protein in integrity wheat was built by three layers back propagation artificial neural networks for portable near infrared (NIR) integrity wheat component measuring apparatus. The structure diagram of integrity wheat component measuring apparatus, light route structure of apparatus and the spectrum of integrity wheat were given in the present paper. The theory of artificial neural network was briefly introduced and the results of quantitative analysis model of protein were given.

[Development of portable LED-based NIR integrity wheat component measuring apparatus].

A integrity wheat component quickly measuring apparatus which based on NIR LED was developed, by using new chip and designing software. While providing a lower cost apparatus, it also provides quick answer speed and smaller size for fieldwork of wheat's components measuring. The apparatus is made up of NIR LED, interference filter, lens, Si photronic detector, microprocessor system and calibration model.