Study on the Relationship between Soil Nutrients and the Corn Yield Based on Grey System Theory

2015 ◽  
Vol 733 ◽  
pp. 391-394
Author(s):  
Xing Mei Xu ◽  
Li Ying Cao ◽  
Jing Zhou
Keyword(s):  
System Theory ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Grey System Theory ◽  
Available Phosphorus ◽  
Corn Yield ◽  
Grey System ◽  
Correlation Degree ◽  
Soil Nutrient Content ◽  
The Relationship

Take the test zone 110 sampling plots of soil nutrient content as the research data, to study the correlation between the soil nutrient content and the corn yield. It used the grey system theory to analysis the correlation between the content of soil nutrient, and established GM (1, N) prediction model. Soil nutrient correlation degree analysis showed that the correlation coefficient of available phosphorus and available potassium were 0.4742, 0.4492, it has a significant effect on the corn yield, the average prediction error of the GM (1, N) model was 7.38%. The model reflected the relationship between soil nutrient content and the corn yield well; it can be used to predict the yield test area.

Study on the Relationship between Soil Nutrient and Yield Analysis Based on Bivariate Correlation between

2014 ◽  
Vol 998-999 ◽  
pp. 1466-1469
Author(s):  
Li Ying Cao ◽  
Xiao Xian Zhang ◽  
Yue Ling Zhao ◽  
Gui Fen Chen
Keyword(s):  
Soil Nutrient ◽  
Nutrient Content ◽  
Maize Yield ◽  
Nutrient Level ◽  
Corn Yield ◽  
Yield Analysis ◽  
Bivariate Correlation ◽  
Plot Yield ◽  
The Relationship ◽  
Nitrogen Phosphorus

Soil nutrient level is an important factor affecting the yield of corn, to find out the effect of nitrogen, phosphorus, potassium on maize yield, analysis of bivariate correlation in SPSS based on the relationship between nutrient content, nitrogen, phosphorus, potassium in the plot and each plot yield directly was analyzed, the experimental results show that it doesn't matter: P, K and the yield of corn, corn yield and nitrogen related.

scholarly journals Main Driving Factors and Prediction Model of Total Health Expenditure in China: A Study Based on Grey System Theory

2019 ◽  
Author(s):  
Huanhuan Jia ◽  
Xihe Yu ◽  
Jianxing Yu ◽  
Zhou Zheng ◽  
Yingying Li ◽  
...  
Keyword(s):  
System Theory ◽  
Prediction Model ◽  
Health Expenditure ◽  
The Elderly ◽  
Grey System Theory ◽  
Driving Factors ◽  
System Reform ◽  
Total Health Expenditure ◽  
Grey System ◽  
Correlation Degree

Abstract Background: The continuous increase in total health expenditure has become a social issue of common concern in most countries. In China, the total health expenditure still maintains a fast growth trend which is much higher than the growth of the country’s economy, although the new health system reform had been going on for 8 years until 2017. The aims of the current study were thus to investigate the main driving factors affecting total health expenditure and to establish a prediction model. Methods: Gray system theory was employed to explore the correlation degree between total health expenditure and 13 hot spots from the fields of economy, population, health service utilization, and public policy using national data in China from 2009 to 2017. Besides, a prediction model was established using the main driving factors among the 13 hot spots. Results: The main driving factors related to the changes of total health expenditure were public policy (ranked first), health development, economics, and aging, which correlation degrees were more than 0.7. The average error of the GM(1,7) model was 3.17%, the correlation degree, β , between the predicted simulation sequence and the original sequence was 0.78, the variance ratio, C, was 0.138, and the probability of residuals, P, was 1.0000. Therefore, the prediction model of total health expenditure with 6 main driving factors was excellent. Conclusion: The paper finds that since the new health system reform in China, government policies and social invest have contributed greatly to reducing the burden of health expenditure. However, the development of economic and the increase in the elderly population, which are main driving factors, will increase the total health expenditure, so improving the efficiency of investment and providing the precautionary health care and nursing for the elderly are crucial. Besides, the grey system theory had a good application in the field of health economics and policy.

Applying grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries

2016 ◽  
Vol 6 (2) ◽  
pp. 143-168 ◽  
Author(s):  
Wuwei Li
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
High Tech ◽  
Grey System ◽  
Content Type ◽  
Relational Analysis ◽  
Panel Data Regression ◽  
Data Regression ◽  
Grey Relational ◽  
The Relationship

Purpose – For the studies whose purposes are to evaluate the relationship between industrial characteristics and innovation activities of the enterprises, there are some limitations in the measures of industrial characteristics and using traditional statistical techniques. The purpose of this paper is to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries using grey system theory. The research results show that grey system theory is suitable to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. Design/methodology/approach – This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises. First, based on the data on Chinese large and medium-sized high-tech enterprises for the period of 2011-2013, this paper applies grey relational analysis to identify the relatively most important indexes on affecting innovation capabilities of Chinese high-tech enterprises. Second, based on the results from grey relational analysis, this study draws a ranking of the five Chinese high-tech industries in terms of innovation capabilities by grey decision making. Finally, based on the results from grey decision making, this study applies GM (0, N) model to investigate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. Findings – The results of this study show that in the evaluation indexes system of innovation capabilities of high-tech enterprises, personnel in R & D institutions, R & D personnel, internal expenditure on R & D, expenditure on new product development, expenditure on technology imports, expenditure on technology renovation, and expenditure on technology assimilation and absorption are relatively most important elements affecting innovation capabilities of Chinese high-tech enterprises. In addition, the two top ranking on innovation capabilities are manufacture of electronic equipment and communication equipment, and manufacture of medicines. At last, the findings indicate that in the measures of industrial characteristics, the three top ranking on affecting innovation capabilities of Chinese high-tech enterprises are R & D intensity, technology absorption intensity of indigenous high-tech enterprises and foreign-invested enterprises size. The opening level is in the middle position. Technology intensity, market concentration, and state-owned enterprises size are the three bottom ranking on affecting innovation capabilities of Chinese high-tech enterprises. Research limitations/implications – This study has some limitations. First, this study is limited to Chinese high-tech industries. The findings may not be applicable to other countries’ high-tech industries. Further studies with other countries’ high-tech industries could be extended and examined how industrial characteristics affect innovation capabilities of the firms in these industries. Second, the measures of industrial characteristics proposed in this study are somewhat theoretically weak. In the future, the authors will further improve the current analysis, and develop the measures of industrial characteristics. Finally, with the advent of the more data with the consistent statistical coverage released by China’s National Bureau of Statistics during the more continuous years, other methods, such as panel data regression model in econometrics could be used to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries. By then, the scholars can compare the results from grey system theory and those from panel data regression model in econometrics. Practical implications – Appropriate industrial environment is favorable for Chinese high-tech enterprises to feed their innovation capabilities. Scientific evaluation on the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries is of great significance for Chinese high-tech enterprises in exerting technological catch-up and promoting their competitive advantage. The purposed measures of industrial characteristics and innovation capabilities of high-tech enterprises in this paper, and combined methodology based on grey system theory could be applied to evaluate the relationship between industrial characteristics and innovation capabilities of Chinese high-tech enterprises. Originality/value – This paper proposes the measures of industrial characteristics and innovation capabilities of high-tech enterprises, and uses grey system theory to evaluate the relationship between industrial characteristics and innovation capabilities within Chinese high-tech industries.

scholarly journals KEANEKARAGAMAN ORGANISME PADA RHIZOSFER GULMA SIAM DI LAHAN VULKANIK, PESISIR, DAN KARST

2021 ◽  
Vol 26 (1) ◽  
pp. 1-16
Author(s):  
Tien Aminatun ◽  
Siti Umniyatie ◽  
Anna Rakhmawati ◽  
Aji Suhandy ◽  
Nrangwesthi Widyaningrum ◽  
...  
Keyword(s):  
Coastal Area ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
Karst Area ◽  
Soil Organisms ◽  
Soil Organism ◽  
P Content ◽  
Soil Nutrient Content ◽  
The Relationship ◽  
Special Region

Penelitian ini bertujuan untuk membandingkan kondisi edafik, hubungan antara kondisi edafik dan keanekaragaman organisme tanah, serta perbedaan keanekaragaman organisme tanah pada berbagai ekosistem rhizosfer gulma Siam (Chromolaena odorata) yang tumbuh di lahan vulkanik, pesisir, dan karst. Penelitian dilakukan dengan mengambil sampel tanah dari ekosistem rhizosfer gulma Siam di lahan vulkanik, karst, dan pesisir Daerah Istimewa Yogyakarta; mengamati komposisi organisme tanah di laboratorium, yaitu collembola, nematoda, dan mikoriza. Hasil penelitian menunjukkan bahwa tanah pada rhizosfer gulma Siam yang tumbuh di lahan karst menunjukkan tingkat kesuburan tertinggi yang ditunjukkan oleh kandungan N, K, dan C-organik tanah, sedangkan tanah pesisir memiliki kandungan P tertinggi. Tekstur tanah pada rhizosfer gulma Siam lebih berpengaruh terhadap keanekaragaman organisme tanah dibandingkan kandungan hara tanah dan sifat tanah lainnya yang diteliti. Keragaman organisme tanah rhizosfer gulma Siam lebih besar di lahan pesisir dibandingkan di lahan karst dan vulkanik. Implikasi dari hasil tersebut adalah bahwa tanah dengan tekstur berpasir akan lebih bermanfaat bagi pertumbuhan gulma Siam dengan keanekaragaman organisme rhizosfer yang lebih tinggi.ORGANISM DIVERSITY IN THE RHIZOSPHERE OF SIAM WEEDS IN VOLCANIC, COASTAL AND KARST LANDThe research aims to compare the edaphic condition, the relationship between the edaphic condition and soil organism diversity, and the differences of soil organism diversity in different rhizosphere ecosystems of Siam weed growing in volcanic, coastal and karts areas. The research was conducted by taking soil samples from the Siam weed rhizosphere ecosystems in volcanic, karst and coastal areas of the Special Region of Yogyakarta and observing the composition of the soil organisms in the laboratory, including collembola, nematode, and mycorrhiza. The results find that soil from rhizosphere of Siam weed growing in karst area shows the highest level of fertility indicated by the N, K, and C-organic contents of the soil, whereas soil from coastal area has the highest P content. Soil texture in the rhizosphere of Siam weed has more effect on the diversity of soil organisms than the soil nutrient content and other soil properties investigated. The diversity of soil organisms of Siam weed rhizosphere is greater in coastal area than those in karst and volcanic areas. The implication of the results is that soil with a sandy texture will be more beneficial for the growth of Siam weed with a higher diversity of rhizosphere organisms

scholarly journals VEGETABLE YIELD AND SOIL NUTRIENT CONTENT ARE AFFECTED BY POULTRY LITTER AND ROTATION WITH WHEAT

HortScience ◽  
1994 ◽  
Vol 29 (7) ◽  
pp. 732e-732
Author(s):  
B.D. McGraw ◽  
B. Bostian
Keyword(s):  
Sweet Corn ◽  
Poultry Litter ◽  
Soil Nutrient ◽  
Nutrient Content ◽  
First Year ◽  
Corn Yield ◽  
Soil P ◽  
Plot Area ◽  
Soil Nutrient Content ◽  
Vegetable Yield

In March 1992 treatments were established in a split plot design to compare vegetable yield and nutrient buildup effects of 94 kg of 34-0-0, 1345 and 2692 kg/ha spent poultry litter under fallow or wheat rotation cover. The 2692 kg litter treatment caused a nonsignificant decrease in `Crimson Sweet' watermelon yield. Wheat was planted on half the plot area in September 1992 and harvested in March 1993. Fertilizer and litter treatments were reapplied in April and `Merit' sweet corn was planted. Corn plant growth was more vigorous and yield was significantly higher in fallow plots irrespective of litter treatment. Sweet corn yield was highest in plots treated with 2692 kg liter/ha. NO3, K, SO4, and Mg content of the top 30 cm of soil was decreased by wheat. Soil nitrate level remained below the pretreatment level after the first year except for the 2692 kg litter/fallow treatment. Soil P at the 0-30 cm depth remained the same as or higher than the initial level in all treatments. Soil K content exceeded initial test levels in all fallow treatments and one wheat treatment.

Prediction of Technical Reserves Based on Grey Model — GM(1,1): Evidence from Non-life Egyptian Insurance Market

2019 ◽  
Vol 10 (9) ◽  
pp. 852-860
Author(s):  
Mahmoud Elsayed ◽  
◽  
Amr Soliman ◽  
Keyword(s):  
System Theory ◽  
Grey System Theory ◽  
Insurance Market ◽  
Grey Model ◽  
Loss Ratio ◽  
Grey System ◽  
Mathematical Technique ◽  
Supervisory Authority ◽  
Error Ratio ◽  
Using Data

Grey system theory is a mathematical technique used to predict data with known and unknown characteristics. The aim of our research is to forecast the future amount of technical reserves (outstanding claims reserve, loss ratio fluctuations reserve and unearned premiums reserve) up to 2029/2030. This study applies the Grey Model GM(1,1) using data obtained from the Egyptian Financial Supervisory Authority (EFSA) over the period from 2005/2006 to 2015/2016 for non-life Egyptian insurance market. We found that the predicted amounts of outstanding claims reserve and loss ratio fluctuations reserve are highly significant than the unearned premiums reserve according to the value of Posterior Error Ratio (PER).

Application of Grey System Theory to tree growth prediction

2000 ◽  
Vol 11 (1) ◽  
pp. 34-36 ◽  
Author(s):  
Wang Jing ◽  
Hou Yuesong ◽  
Li Weilin ◽  
Cheng Wenhui
Keyword(s):  
System Theory ◽  
Tree Growth ◽  
Grey System Theory ◽  
Grey System ◽  
Growth Prediction
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