In this paper, a novel method is proposed to identify plant species by using the two- dimensional multifractal detrended fluctuation analysis (2D MF-DFA). Our involves calculating set of parameters that characterize texture features each leaf image. An index, I 0, characterizes relation intra-species variances and inter-species introduced. This index used select three for identification process. The procedure applied Swedish data containing leaves from fifteen different tree species. chosen...

A novel method, which we called the analogous multifractal cross-correlation analysis, is proposed in this paper to study behavior power-law between price and load California electricity market. In addition, a statistic ρAMF-XA, call coefficient, defined test whether two given signals genuine or not. Our analysis finds that both time series market express nature. While, as indicated by ρAMF-XA statistical test, there huge difference years 1999 2000 markets.

Multifractal theory has been widely used in different kinds of fields. In this paper, methods were proposed to extract two multifractal descriptors gray series and two-dimensional surfaces for image based on the detrended fluctuation analysis. The parameters can be well described by texture feature through test some textures. Three aspects experiments have conducted verify robustness parameters, which include noise immunity, degree blurring compression ratio. Comparisons between other...

Imaging hyperspectral technology is becoming popular in agriculture to provide detailed information on crop growth. In this work, we propose an estimation of rapeseed pod’s water content model and identification maturity levels (green, yellow, full) by using technology. Four types features are extracted—color, texture, spectral three-edge parameters, indices. By integrating these features, satisfactory results achieved: the optimal feature combination from indices with low RRMSE RE for...

To identify singular regions of crop leaf affected by diseases, based on multifractal detrended fluctuation analysis (MF-DFA), an image segmentation method is proposed. In the proposed method, first, we defend a new texture descriptor: local generalized Hurst exponent, recorded as LHq MF-DFA. And then, box-counting dimension f(LHq) calculated for sub-images constituted some pixels, which come from specific region. Consequently, series different can be obtained. Finally, are segmented...

As an important oil crop, rapeseed contributes to the food security of world. In recent years, agronomists have cultivated many new varieties, which has increased human nutritional needs. Variety recognition is great importance for yield improvement and quality breeding. view low efficiency damage traditional methods, in this paper, we develop a noninvasive model varieties based on hyperspectral feature fusion. Three types image features, namely, multifractal feature, color characteristics,...

Spectrum technology has been widely used in crop non-destructive testing diagnosis for information acquisition. Since spectrum covers a wide range of bands, it is critical importance to extract the sensitive bands. In this paper, we propose methodology bands rapeseed using multiscale multifractal detrended fluctuation analysis. Our obtained are relatively robust 534 nm–574 nm. Further, by parameter (Hurst exponent) extracted prediction model forecast Soil and plant analyzer development...

AVNDVI (Accumulative Visible Normalized Difference Vegetation Index), a new type of derivative parameters NDVI, was set up by improving the computational formulas and importing spectral information visible bands after analyzing construction idea NDVI its parameters. Then, characteristic values VNDVI (Visible NDVI) were calculated applying combinational method sensitive bands. The study carried out fitting analysis between VNDVI, AVNDVI, LAI (Leaf Area Index). Several conclusions are obtained...

In order to detect the oleic acid content of rapeseed quickly and accurately, we propose, in this paper, an artificial BP neural networks based model for predicting by using rapeseed’s hyperspectral information. Four types spectral features are selected our investigation, namely multifractal index, sensitive band, trilateral parameters, index. Both univariate variable multiple variables considered as input. The result shows that combined feature has higher precision better stability than...

Nutrition diagnosis plays a key role in the crop’s growth, which has mainly been carried out field by agricultural workers. Currently, automatic nutrition recognition technologies have widely used this field. A procedure is proposed paper to diagnose nitrogen non-destructively for rapeseed qualitatively based on multifractal theory. Twelve texture parameters are given method of detrended fluctuation (MF-DFA), contains six generalized Hurst exponents and relative that as features leaf images...

Abstract At present, the application of hyperspectral image technology in target detection is lacking black-and-white correction, and average spectral reflectance cannot be calculated, which leads to large error feature classification. In this study, was applied rapeseed storage quality, germination completed during rapeseed. The board correction data characteristic curve sample obtained. threshold estimated, correlation technique used denoise image. Based on this, edge recognized,...

Rapeseed is one of the important oilseed crop species, and worldwide most economically. The light seed colour in rapeseed associated with improved oil, protein fibre contents. But there are not reliable efficient methods to measure colour, especially single colour. Two transformations RGB (red, green, blue) space were used for two recognition methods, i.e., HSV (hue, saturation, value) nine model (NCM). Using these transformations, performance common method on was compared major method....

The implementation of new methods for fast classification seeds is major technical importance in the large-scale investigation identification. A few indices with biological significance were used to identify rapeseed type and variety. plumpness ratio extracted by using variation coefficient radius fourteen varieties at Chinese five locations. equivalence diameter was reference calibration method. color saturation nine HSV model ANN-BP models established classification. equivalent two...

The plumpness is an important index of crop seed. However, traditional measurements are time-consuming and labor intensive. computer vision technology, which may offer more efficient non-destructive methods for measurement, has recently appeared. But it very difficult to accurately estimate the single seed by ratio between area perimeter because diversity rapeseed seed’s size. This paper focused on recognition quantification, based vision. A new method, coefficient variation radius (CVR),...

This paper presents a novel approach to fuzzy rule fusing mechanism for T-S systems. Through it, fire strength of rules can be adjusted which plays an important role in applications. Furthermore, by instance implementing the operations on control system, it demonstrates that controllability its dominating is improved significantly.

Push technology as a proactive type of information acquisition method communication, it has an effective way to achieve personalized services. However, the effect push is general in service practice. still not resolved its two historical problems, which are user reasonable classification and update interest. Facing these this paper proposed new called three- dimensional concrete, based on method, with mathematical methods, authors interest users mechanism, constructing model suitable for...