scholarly journals Soil pH parameter Estimation Using Image Processing and Regression Analysis

2020 ◽  
Vol XII (VIII) ◽  
Keyword(s):  
Image Processing ◽  
Parameter Estimation ◽  
Regression Analysis ◽  
Soil Ph

Parameter Estimation in Marketing Models in the Presence of Influential Response Data: Robust Regression and Applications

1984 ◽  
Vol 21 (3) ◽  
pp. 268-277 ◽  
Author(s):  
Vijay Mahajan ◽  
Subhash Sharma ◽  
Yoram Wind
Keyword(s):  
Parameter Estimation ◽  
Regression Analysis ◽  
Least Squares ◽  
Robust Regression ◽  
Ordinary Least Squares ◽  
Regression Coefficients ◽  
Parameter Estimates ◽  
Response Data ◽  
Marketing Models ◽  
Marketing Data

In marketing models, the presence of aberrant response values or outliers in data can distort the parameter estimates or regression coefficients obtained by means of ordinary least squares. The authors demonstrate the potential usefulness of the robust regression analysis in treating influential response values in marketing data.

Parameter Estimation: Some Fundamentals of Regression Analysis

2002 ◽  
pp. 215-281
Author(s):  
Claudio Cobelli ◽  
David Foster ◽  
Gianna Toffolo
Keyword(s):  
Parameter Estimation ◽  
Regression Analysis

Ratings of Rice Leaf Blast Disease Based on Image Processing and Stepwise Regression

2019 ◽  
Vol 35 (6) ◽  
pp. 1037-1043
Author(s):  
Maohua Xiao ◽  
Ziang Deng ◽  
You Ma ◽  
Shishuang Hou ◽  
sanqin Zhao
Keyword(s):  
Image Processing ◽  
Regression Analysis ◽  
Rice Blast ◽  
Stepwise Regression ◽  
Objective Assessment ◽  
Texture Features ◽  
Stepwise Regression Analysis ◽  
Blast Disease ◽  
Leaf Blast ◽  
Variance Method

Abstract. Multi-feature fusion of morphology and texture featuresStepwise regression analysis to distinguish disease areas from natural brown areasCalculate the ratio of the total area of the diseased area to the area of the leaf area to obtain the disease level Abstract. In this research, an evaluation method involving digital image processing and stepwise regression was studied to establish an efficient and accurate rating system for studying rice blast disease. For this purpose, the R-G image was segmented by using maximum interclass variance method in which the lesion and naturally withered region was extracted from the leaves. Then, 240 lesion areas and 240 natural yellow areas were selected as samples. During the experiment, ten morphological features and five texture features were extracted. Subsequently, for lesion identification, stepwise regression analysis, SVM and BP neural network were used. In the results, regression analysis of naturally yellow areas showed the highest accuracy in lesion identification, reaching 93.33% for disaster-level assessment of identified lesion areas. On the basis of the results, it is evident that 153 samples were correctly classified into divisions of 160 tested different rice blast leaves, with 95.63% classification accuracy. This study has introduced a new method for objective assessment of leaf blast disease. Keywords: Disease classification, Lesion identification, Maximum interclass variance method, Rice blast, Stepwise regression.

scholarly journals Intensitas Serangan Hama Tikus Tanaman Padi Menggunakan Metode Pengamatan Keliling Berhubungan Linier dengan Luas Serangan Hasil Analisi Foto Udara

2019 ◽  
Vol 7 (2) ◽  
pp. 279
Author(s):  
I Ketut Satria Rahadi ◽  
I Made Anom Sutrisna Wijaya ◽  
I Wayan Tika
Keyword(s):  
Image Processing ◽  
Regression Analysis ◽  
Sampling Methods ◽  
Regression Coefficient ◽  
Aerial Photographs ◽  
Aerial Image ◽  
Crop Failure ◽  
Error Factor ◽  
The Relationship ◽  
Attack Intensity

Hama tikus adalah hama yang dapat menyebabkan kegagalan panen tanaman padi. Metode yang digunakan untuk mengukur besaran serangan hama tikus adalah metode pengambilan contoh dan pendekatan foto udara. Namun dari kedua metode ini tingkat serangan yang dihasilkan belum diketahui korelasinya. Maka dari itu dilakukannya penelitian ini untuk mendapatkan hubungan antara intensitas dan luas serangan hama tikus tanaman padi. Tahapan penelitian ini adalah survei lokasi yang terserang hama tikus, persiapan alat, pengambilan foto udara, pengambilan sampel untuk perhitungan intensitas serangan, pengolahan citra, perhitungan luas serangan, analisis regresi dan validasi. Intensitas serangan dihitung menggunakan perhitungan secara mutlak, sedangkan luas serangan dihitung menggunakan metode pengolahan citra foto udara yang dikembangkang oleh Widodo. Analisis regresi menunjukan bahwa hubungan antara intensitas serangan dengan luas serangan memiliki koefisien determinasi 0,889 dan persamaan regresi yang diperoleh y = 1,138x dengan faktor kesalahan 8,947%. Intensitas serangan hama tikus tanaman padi menggunakan metode pengambilan contoh berhubungan linier dengan luas serangan hasil analisis foto udara yang dikembangkan oleh Widodo.   Rat pests are pests that can cause crop failure in rice plant. The method used to calculate the number of rodent pest attacks is the method of sampling and obtaining aerial photographs. But from these two methods the level of attack produced is not known to correlate. So this study purpose to obtain a relationship between intensity of attack with area of attack rat pest of rice plants. The stages of this study were location surveys that were attacked by rat pests, preparation of tools, aerial photography, and sampling for the calculation of attack intensity, image processing, area attack, regression analysis and validation. The intensity of attacks is calculated using total calculations, while broad attacks are calculated using the aerial image processing method developed by Widodo. Regression analysis shows the relationship between the intensity of ??attack with the area of ??attack has a determination coefficient of 0.889 and the regression coefficient obtained y = 1.138x with an error factor of 8.947%. The intensity of rat pest attacks using linear related sampling methods with broad attack results from aerial photo analysis developed by Widodo.

Determination of Meat Quality by Image Processing and Neural Network Techniques

2000 ◽  
Vol 12 (4) ◽  
pp. 474-479
Author(s):  
Kazuhiko Shiranita ◽  
◽  
Kenichiro Hayashi ◽  
Akifumi Otsubo
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Meat Quality ◽  
Distribution Density ◽  
Marbling Score ◽  
Quality Grading

We study the implementation of a meat-quality grading system, using the concept of the marbling score, and image processing, neural network techniques and multiple regression analysis. The marbling score is a measure of the distribution density of fat in the rib-eye region. We identify five features used for grading meat images. For the evaluation of the five features, we propose a method of image binarization using a three-layer neural network developed based on inputs given by a professional grader and a system of meat-quality grading based on the evaluation of three of five features with multiple regression analysis. Experimental results show that the system is effective.

The response of swede varieties and their hybrids to soil pH

1975 ◽  
Vol 85 (3) ◽  
pp. 395-401 ◽  
Author(s):  
O. A. Denton ◽  
W. J. Whittington
Keyword(s):  
Regression Analysis ◽  
Soil Ph ◽  
Low Ph ◽  
Average Yield ◽  
Inheritance Patterns ◽  
High Ph ◽  
Number Of Leaves ◽  
Selection For ◽  
Marked Resistance

SUMMARYFour swede varieties and their six F1 hybrids were grown for 2 years in plots varying in pH from 4·2 to 8·4. Yields were highest at intermediate pH's and the average yield of the hybrids was greater than that of the parents. The plants on the low pH plots (4·2, 4·6, 4·7) were less infected with mildew than those at high pH (6·7, 7·7, 8·4). There was no marked resistance to mildew amongst the varieties. The response by the parents and hybrids was assessed by regression analysis and showed that the variety Reform was most reactive and Harvester most stable. Stability patterns appeared to be inherited. Inheritance patterns for yield and number of leaves were determined. It was concluded that selection for better swedes should be carried out in environments other than those to which the crop is currently restricted.

Sign in / Sign up

Export Citation Format

Share Document