Establishing a Physiology-Yield-Quality Evaluation Model for Optimizing Drip Irrigation on Grape Fields in Extremely Arid Regions

2021 ◽  
Vol 37 (2) ◽  
pp. 267-278
Author(s):  
Yue Wen ◽  
Zhenhua Wang ◽  
Li Guo ◽  
Wenhao Li
Keyword(s):  
Drip Irrigation ◽  
Arid Regions ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Methods ◽  
Regulated Deficit Irrigation ◽  
Average Value ◽  
Yield And Quality ◽  
Yield Quality ◽  
Quality Indexes

HighlightsRegulated deficit irrigation and fertilization ratio were used to test grapes in extremely arid areas.Physiology, yield, and quality indexes of drip irrigation grapes were analyzed accordingly in this study.Single and comprehensive evaluation models were used to evaluate the optimal water and fertilizer treatment.Abstract. Water shortage and chemical fertilizer abuse are important factors restricting grape industry development in Xinjiang. In this study, the physiology, yield and quality indexes of drip irrigation grapes were analyzed, and the water-fertilizer system was properly optimized by a model of combination of single evaluation methods and comprehensive evaluation methods. Five irrigation schemes and three fertilizer ratios were combined to form 15 treatments in Xinjiang, China. Results showed that irrigation and fertilization had different effects on physiology, yield, and quality indicators of grapes in different growth periods, and each index cannot reach its maximum value under the same treatment. Four single evaluation methods of Principal Component Analysis (PCA), Membership Function Analysis (MFA), Gray Correlation Analysis (GCA), and TOPSIS were used to evaluate grapes of 15 water and fertilizer treatments, but there were 9 treatments with a ranking standard deviation greater than 1.0, which was over 60% of all treatments. Through four comprehensive evaluation methods of Average Value, Borda, Copeland, and Fuzzy Borda, single evaluation results were analyzed, and the standard deviations of 13 treatments ranked 1.0 or below, more than 80% of all treatments, and Average Value comprehensive method had the highest compatibility. Therefore, the combination of Average Value method and four single evaluation methods is an appropriate evaluation model. It was determined that W4F2 was the optimal treatment which was performed regulated deficit irrigation in the berry mature period, the irrigation amount, nitrogen, phosphorus, and potassium fertilizers were sequentially controlled to 694 mm, 235.7, 235.7, and 353.6 kg·ha-1, and its ranking was ranked first under the four comprehensive evaluation methods. This study can provide theoretical guidance for the combined evaluation of water and fertilizer use of drip irrigation grapes in extremely arid regions. Keywords: Comprehensive model evaluation, Extremely arid regions, Drip irrigation grapes, Physiology-yield-quality effects, Single method evaluation.

Data Processing and Information Technology with an Iterative Correction Evaluation Model

2014 ◽  
Vol 978 ◽  
pp. 201-204
Author(s):  
Wei Gu
Keyword(s):  
Information Technology ◽  
Data Processing ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Homogeneity Test ◽  
Average Value ◽  
Iterative Correction ◽  
College Coaches ◽  
Spearman Test

In our paper, we used data processing and information technology to build an iterative correction evaluation model.First,we collect the data of college coaches of football, basketball and hockey. Based on the two characteristic indexes of college coaches, such as the basic quality and the competition results, we discuss the characteristic indexes of excellent college coaches and set up two basic models: the one is fuzzy comprehensive evaluation model established by simplified DHFG algorithm and the other is Self-evaluation DEA model built on the hierarchy structure of the evaluation indexes and incompleteness of weight set. Then, the ranking lists can be obtained respectively. After that, we use four combined evaluation methods, such as average value method, Boarda method, Compeland method and fuzzy Boarda method, to combine the results of two basic models above. We establish the iterative correction model and Spearman test is applied until the results satisfy the homogeneity test. Thus, the more accuracy results are gained and the top 5 coaches are picked out more correctly.

Modern Machinery Products Adaptability Vague Comprehensive Evaluation

2011 ◽  
Vol 201-203 ◽  
pp. 1475-1480
Author(s):  
Zhi Jie Xin ◽  
Hu Guo
Keyword(s):  
Structural Design ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Product Evaluation ◽  
Evaluation Methods ◽  
Fuzzy Synthetic Evaluation ◽  
Target Analysis ◽  
Milling Machines ◽  
Mechanical Products ◽  
Synthetic Evaluation

Modern mechanical products through comprehensive appraisal target analysis, adaptability of product evaluation model can be established. The NC Arc teeth gear milling machines, for example, applies multistage fuzzy synthetic evaluation methods, has carried on the synthetic evaluation to the product adaptability, provide the instruction for the modern structural design and the re-engineering.

scholarly journals Evaluation of the value of basketball players based on wireless network and improved Bayesian algorithm

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Dong Huo
Keyword(s):  
Wireless Network ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Evaluation Methods ◽  
Basketball Player ◽  
Bayesian Algorithm ◽  
Basketball Players ◽  
Value Evaluation ◽  
Selection Of

AbstractThe selection of basketball players should highlight their specific characteristics and proceed according to the essential laws of basketball. When the acquired training level becomes closer and closer, and is more and more conducive to the control of the entire training and competition, the selection of the standard paradigm of basketball players plays a key role. At present, the existing evaluation methods of basketball players are limited to the human experience of coaches, and there is a lack of further information evaluation methods. This article discusses a new type of basketball player evaluation scheme that combines wireless network and machine learning methods. First, the wireless sensor network is used to perceive basketball players' performance on the court and record various evaluation indicators. Secondly, establish a player value evaluation model through improved Bayesian algorithm and fuzzy comprehensive evaluation methods. Finally, after relevant tests and comparisons with the coaches' results, the model showed better evaluation results and a fairer value distribution.

scholarly journals Water–Nitrogen Coupling Effect on Drip-Irrigated Dense Planting of Dwarf Jujube in an Extremely Arid Area

Agronomy ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 561 ◽  
Author(s):  
En Lin ◽  
Hongguang Liu ◽  
Xinlin He ◽  
Xinxin Li ◽  
Ping Gong ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Drip Irrigation ◽  
Coupling Effect ◽  
Economic Benefits ◽  
Spatial Analyses ◽  
Nitrogen Application ◽  
Net Benefit ◽  
Irrigation Amount ◽  
Yield And Quality ◽  
Yield Quality

Hami, Xinjiang, is located in an extremely arid region and jujube is the main economic crop. It is important to adopt dwarf and close-planting technology under drip irrigation and to optimize water and fertilizer management to improve jujube yield and quality. Local 12-year-old jujube trees were treated using two factors of irrigation and fertilization. Three irrigation amounts (520, 700, and 880 mm) and three fertilization levels (248, 318, and 388 kg/hm2) were set up in plot experiments. The root system, yield, and quality of jujube were monitored under different irrigation and nitrogen application combinations. The effects on water use efficiency (WUE), nitrogen partial factor productivity (PNP), and economic benefit were analyzed. The water and fertilizer coupling effect of dwarf closely planted jujube was studied by combining multiple regression and spatial analyses. The yield, quality, economic benefits, WUE, and PNP of jujube were significantly affected by irrigation and fertilization. Multiple regression and spatial analyses showed that the highest yield was for irrigation of 700 mm and a nitrogen rate of 340 kg/hm2. For the maximum net benefit, irrigation was 806 mm and nitrogen was 388 kg/hm2; correspondingly, for the highest total sugar, values were 688 mm and 362 kg/hm2; for vitamin C, they were 622 mm and 376 kg/hm2; for PNP, they were 880 mm and 256.57 kg/hm2; and for WUE, they were 520 mm and 388 kg/hm2. A comprehensive evaluation of each index showed that the acceptable irrigation amount for yield, quality, WUE, and net benefit of ≥85% of the maximum value was 600–628 mm, and the nitrogen application rate was 360–372 kg/hm2. This study provides guidance for the scientific management of water and fertilizer in the drip irrigation and fertilization process of local jujube trees.

A fuzzy evaluation method of road vehicle automatic weighing instrument in dynamic force metrological performance

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1365-1372
Author(s):  
Xiaohui Mao ◽  
Liping Fei ◽  
Xianping Shang ◽  
Jie Chen ◽  
Zhihao Zhao
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Dynamic Performance ◽  
Dynamic Force ◽  
Fuzzy Evaluation ◽  
Road Vehicle ◽  
Evaluation Standard ◽  
The Road ◽  
Metrological Performance

The measurement performance of road vehicle automatic weighing instrument installed on highways is directly related to the safety of roads and bridges. The fuzzy number indicates that the uncertain quantization problem has obvious advantages. By analyzing the factors affecting the metrological performance of the road vehicle automatic weighing instrument, combined with the fuzzy mathematics theory, the weight evaluation model of the dynamic performance evaluation of the road vehicle automatic weighing instrument is proposed. The factors of measurement performance are summarized and calculated, and the comprehensive evaluation standard of the metering performance of the weighing equipment is obtained, so as to realize the quantifiable analysis and evaluation of the metering performance of the dynamic road vehicle automatic weighing instrument in use, and provide data reference for adopting a more scientific measurement supervision method.

Comprehensive evaluation of kraft pulp properties from fast-growing woods

TAPPI Journal ◽  
2010 ◽  
Vol 9 (6) ◽  
pp. 34-39
Author(s):  
AIYU QU ◽  
YANHUI AO ◽  
JUN YAN ◽  
GUIGAN FANG
Keyword(s):  
Kraft Pulp ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Wood Cellulose ◽  
Fuzzy Matrix ◽  
Fast Growing ◽  
Pulp Properties ◽  
Evaluation Index Systems

To develop new wood cellulose resources and fast-growing pulpwood plantation fiber sources, it is very important to evaluate their pulping properties. A comprehensive multi-index pulping-suitability evaluation model is investigated in this paper by considering four fast-growing wood species. First, a new evaluation-index system for kraft pulp was developed based on traditional evaluation-index systems. Then, the membership degree of every index was analyzed to obtain a fuzzy matrix. The proportional contribution of each parameter to the main pulping properties could then be determined. Finally, a comprehensive evaluation model of kraft pulp properties was developed. The model is reliable compared with traditional assessment methods. The results confirmed the feasibility and rationality of developing new wood cellulose resources and fast-growing pulpwood plantations using fuzzy comprehensive evaluations.

Intelligent Lighting Control System in Large-Scale Sports Competition Venues

2018 ◽  
pp. 172-182 ◽  
Author(s):  
Shengmin CAO
Keyword(s):  
Control System ◽  
Large Scale ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Practical Significance ◽  
Lighting Control ◽  
Sports Events ◽  
Planning And Design ◽  
Comprehensive Evaluation Model

This paper mainly studies the application of intelligent lighting control system in different sports events in large sports competition venues. We take the Xiantao Stadium, a large­scale sports competition venue in Zaozhuang City, Shandong Province as an example, to study its intelligent lighting control system. In this paper, the PID (proportion – integral – derivative) incremental control model and the Karatsuba multiplication model are used, and the intelligent lighting control system is designed and implemented by multi­level fuzzy comprehensive evaluation model. Finally, the paper evaluates the actual effect of the intelligent lighting control system. The research shows that the intelligent lighting control system designed in this paper can accurately control the lighting of different sports in large stadiums. The research in this paper has important practical significance for the planning and design of large­scale sports competition venues.

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