bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Fulvic Acid on Photosynthetic Characteristics of Citrus Seedlings Under Drought Stress
Authors: Huang Shengjia , Xiong Bo , Sun Guochao , He Siya , Liao Ling , Wang Jiaqi , Wang Bozhi , Wang Zhihui 
Published: May 2020

Abstract
The experimental material in the experiment was citrus seedling of Huangguogan. An experiment was conducted to study the effects of fulvic acid on photosynthetic characteristics of citrus seedlings under drought stress. Portable photosynthesis meter (L1-6400) was used to determine net photosynthetic rate and chlorophyll fluorescence. The results showed that the Pn in citrus seedlings spraying with 200, 400, 600 mg ·L-1 fulvic acid was higher than that in control group, which increased with the increase of concentration of fulvic acid. With the increase of fulvic acid concentration, the F
o, F
m, F
v, qP, F
v’/F
m’ in PSII and NPQ in citrus seedlings all increased significantly, while the F
o
/F
v in PSII showed an opposite regulation pattern.
Comparison of fruit quality between “Shiranui” and “Jinlegan”
Authors: Zhong Shuai , Huang Jinqiu , Fan Ya , Wang Hairong , Wang Xun 
Published: May 2020

Abstract
“Jinlegan” is a new bud mutation of “Shiranui”, and it has different qualities. In this experiment, their fruit weight, net fruit weight, tare weight, cross diameter, longitudinal diameter, navel height, single valve weight and skin thickness were analyzed, and the contents of soluble sugar, titratable acid, and edible rate in both hybrid citrus were determined. The results show that compared with “Shiranui”, “Jinlegan” enjoys lower titratable acid content, and more edible rate, net fruit weight, single valve weight. In conclusion, “Jinlegan” has unique flavor, commodity value and a broad market.
Development of key components of wheel tractor driving simulator based on desktop virtual reality
Authors: Liu Changxi , Chang Chuanyi , Hu Jun 
Published: May 2020

Abstract
The wheel tractor driving simulator was developed by using desktop virtual reality technology to solve the problems of short training times and complex operation for drivers, which led to machine damage and low efficiency when the wheel tractor was used. Firstly, the composition of the tractor driving simulator and its working principle were presented. Secondly, combined with the obtained parameters and operation requirements, the key components of the wheeled tractor driving simulator were designed. Finally, the high-degree simulation of the wheeled tractor driving simulator was verified by comparing the parameters of the key components of the real tractor with those of the wheeled tractor driving simulator. The test results showed the stroke angle and feedback force of the simulator were basically the same as that of the real tractor and they had the same trends. Therefore, the key components of the wheeled tractor driving simulator designed in this paper can simulate the driving body sense and operational functions of real tractors. The development of a driving simulator is of great significance to train unqualified drivers, improve training efficiency and reduce training cost.
Comparative Study on Biological Characteristics and Fruit Quality Changes of Two Citrus Varieties
Authors: Chen Zhaofang , Wang Yuxin , Wang Tie , Li Sichen , Xiong Bo , Qiu Xia , Sun Guochao , Wang Zhihui 
Published: May 2020

Abstract
This experiment compared the phenophase, morphological features and fruit quality of the two citrus varieties. The results showed that the whole growth period of Lemon Siranui was about 12 days longer than Siranui. The flowering period, two physiological fruit drop periods and fruit color change period of Lemon Siranui were about 5-7 days later than Siranui. While this study illustrated differences in morphological features that Lemon Siranui tree was stronger than Siranui. And the fruit of Lemon Siranui was heavier than Siranui. It was clear to see that the percentages of soluble solids as well as vitamin C in Lemon Siranui were larger than those in Siranui, which led to better taste qualities. Overall, Lemon Siranui was a new high-quality strain citrus variety with excellent traits which was worth promoting from the analysis of appearance quality and nutritional quality.
Effects of planting density on diurnal variation of microenvironment in Huangguogan orchards
Authors: Dong Tiantian , Tang Xiaoyu , Zhang Huiyi , Wang Bozhi , Zhang Haonan , Duan Changwen , Wang Jiaqi , Wang Zhihui , Xiong Bo 
Published: May 2020

Abstract
In this experiment, Huangguogan was used as the material. The effects of different planting densities on the diurnal variation of microenvironment in citrus orchard was studied, and thekey research findingsare as below. The orchard environmental factors, including light, daily average temperature and soil moisture, increased with the decrease of planting density. Compared with the density of 2×3m, thephotosynthetically active radiation(PAR in short), air temperature, soil temperature and soil moisture of density 4×5m on average increased by 423.7%, 5.5%, 2.18% and 4.9%. Air CO2 concentration and air humidity on average decreased by 1.8% and 4%. The daily range of PAR, air temperature, air humidity, soil temperature and soil humidity increased, and the daily range of air CO2 concentration decreased.
ID3 algorithm and its improved algorithm in agricultural planting decision
Authors: Qiang Guangping , Sun Lin , Huang Qiang 
Published: May 2020

Abstract
With the advent of the era of 5G big data, it is not only necessary to mine valid data in mass information, but also to classify it. Mining and classifying information can be used as an important basis for decision making. Making correct and efficient decisions on agricultural planting can not only improve agricultural production efficiency, but also lay the foundation for the realization of smart agriculture. This paper will compare the improved algorithm, which is called MIND, with the algorithms in other literaturesby experiments. Through calculations in agricultural big data such as temperature, humidity, wind, and weather, it is demonstrated that the improved algorithm is more suitable for agricultural planting decisions.
Effects of DifferentAmino Acids on Physicochemical Properties of Rice Starch
Authors: Qiu Zhongwen , Feng Xiaoguang , Sun Meiling , Chen Xiangning 
Published: May 2020

Abstract
In this study, we investigated the effects of different amino acids (Glycine acid (Gly), lysine (Lys), arginine (Arg),aspartic acid (Asp) and glutamic acid (Glu)) and different levels of amino acids (1 %, 5 %, 10 %) on the physicochemical properties(transparency, supernatant, solubility, swelling, freeze-thaw stability) of rice starch. The results showed that Lys and Arg significantly increased the swelling power of rice starch, but Asp and Glu had the opposite effect. All charge-carrying amino acids reduced the transparency of rice starch, while increased the settling property and the syneresis of freeze-thaw treatment process. Gly had no significant effect on the properties of rice starch.
Research on Interactive Fault Reasoning of Complex Agricultural Equipment by IETM
Authors: Meng Lirong , Ma Yongqi , Cheng Xun 
Published: May 2020

Abstract
As the equipment of modern agriculture becomes more and more complex, fault reasoning and fault maintenance support have turned into two important core functions. And how to improve the fault reasoning task success rate is an unavoidable problem for Interactive Electronic Technical Manual (IETM) that has been used in modern agriculture support information. Aiming to solve the poor interactive, inaccurate location, one-sided guidance problems in fault reasoning and fault maintenance of complex agricultural equipment, we use process data module and fault data module to describe the fault and full process for fault diagnose, fault reasoning and fault maintenance, and then according to interactive fault reasoning principle based on process data module and fault data module to guide fault maintenance staff complete fault reasoning, isolation and maintenance in shorter time. As a result, this is a new approach to improve the accuracy and efficiency of fault remedy and maintenance, and it also improves the efficiency of fault reasoning of complex agricultural equipment by IETM in an interactive way.
Soil texture judgment based on digital experimental field
Authors: Wei Jing , Dong Qiguang , Sun Zenghui 
Published: May 2020

Abstract
At present, it is very common to use Mastersizer 3000 to detect soil texture, which can be detected by dry method and wet method. In order to distinguish the consistency of the results of the two detection methods, the dry method and the wet method were used to test 8 samples from the pot experiment, and each sample was tested repeatedly for 3 times. The results were averaged. The content of clay ( < 2 μm) and sand (50-2000 μm) in dry method was lower than that in wet method in all samples. The particle size distribution of dry method and wet method was significantly correlated, with a determination coefficient R2 of 0.9222. Therefore, in this project area, the model can be used to simulate the particle size distribution range of wet method and determine the mechanical composition.
Study on the accumulation of Phenols during fruit development of two Pomelos
Authors: Wang Bozhi , Dong Tiantian , Wang Jiaqi , Wang Huaer , Ma Mengmeng , Li Huizhi , Zhang Yue , Yang Zirui , Zhang Yu , Xiong Bo 
Published: May 2020

Abstract
This experiment usedHuangjinmiyou and Sanhongmiyou as materials to studythe accumulation of phenolic substances during fruit developmentin different parts of pomelo fruit (exocarp, mesocarp and pulp) via Folin-Ciocalteuassay. The results showed that the total phenolic content (TPC) of Huangjinmiyouwas slightly higher than that of Sanhongmiyou.The sequence of TPC in different parts of the fruit wasmesocarp> exocarp>pulp. TPC of the three parts reached maximum on the 60th day. The experiment aimed at two popular varieties showed their normal rules of phenols changing during fruit development and their differences, which consummated relevant theories.
Study Progress of Intelligent Facility Feeding Technology for Broilers
Authors: He Ling , Chen Changxi , Wanchao Zhang , Wu Kai , Zhen Aijun 
Published: May 2020

Abstract
Some progress has been made on the intelligent facility breeding of broilers in China and international. Contents and achievements of the research are concentrated in two aspects. One is the control of breeding environment, and the other is the recognition automatically of broiler state. The research achievements in these two aspects were summarized, and the application status and prospect of these research achievements were analyzed in this paper, which would provide reference for the development of intelligent broiler feeding.
Simulation Study on Irrigation Water Consumption of Multi-Source Irrigation Area based on Water Monitoring
Authors: Jinhua Wen , Helong Wang , Shiwu Wang 
Published: May 2020

Abstract
The simulation accuracy of irrigation water consumption in multi-source irrigation area is not high. SWAT model water cycle simulation structure and calculation of water balance elements are not suitable for irrigation district water cycle simulation. This paper puts forward a method of building water measurement and monitoring facilities in the main water circulation nodes of irrigation area, combining with the improved SWAT model to establish water circulation model to simulate agricultural water consumption in irrigation area. This method effectively realizes the combination of direct measurement and model calculation of agricultural irrigation water consumption in multi-source irrigation area.
The Establishment of Cherry Tomatoes Evaluation System
Authors: Chang Xiyuan , Wang Guoqiang , Chang Xiguang , Zhao Xin , Feng Xiaoguang , Chen Xiangning 
Published: May 2020

Abstract
In this study, cherry tomatoes were selected as research objects, and the characteristics of sensory indicators, nutrition indicators, physiological and biochemical indicators, microbial indicators and harmful chemical substances were selected during the shelf life. Finally, the key evaluation indicators and indicators were determined by SPSS software analysis. The establishment of a cherry tomato quality evaluation system provides a theoretical basis for extending the shelf life of cherry tomatoes. The evaluation system was as follows: principal component 1=-0.472578778 sensory +0.451205869 total colony +0.453105683 weight loss rate -0.434582494 hardness +0.422708656 lycopene. This study has positive significance on the preservation of cherry tomato.
Effect of biochar application at different adding rates on garlic (Allium sativum) growth and production
Authors: Zhang Chenchen , Liu Qiang , Kudakwashe Meki 
Published: May 2020

Abstract
Biochar is a solid and carbon-rich product obtained from the thermal treatment of biomass, which have been widely used in agricultural production and environmental remediation. However, it is unknown whether biochar addition have positive effect on the growth and production of garlic (Allium sativum), an important edible vegetable in China. Thus, we investigated the effects of a wood wastes derived biochar addition at rates of 1.5% and 3% (w/w, 1.5%BC and 3%BC) on the germination, growth, and production of garlic using a pot experiment. The results showed that 1.5%BC significantly increased the weight of fresh roots by 29%, indicating that the 1.5%BC promoted the garlic production. However, the higher dosage treatment (3%BC) slightly inhibited the seedling growth, and decreased the garlic production. Our findings provide useful information for developing biochar-based technology to improve garlic production.
Effect of Peeling Method on The Volatile Flavor of Citrus Fruit
Authors: Wang Jun , Cheng Yujiao , Huang Linhua , Wu Houjiu , Sun Rongrong , Li Guijie 
Published: May 2020

Abstract
Analysis on the volatile flavor of whole peeled citrus fruit with different peeling methods, by solid phase micro extraction-gas chromatography-mass spectrometry (SPME-GC-MS). Totally 50 aromatic components were found, and main components were as follows: limonene (69.32%-78.88%), valencene (8.14%-12.98%), α-pinene (1.01%-1.02%), γ-terpinene (0.27%-0.35%), 3-methyl-butanal (0.75%-1.10%), (E)-2-hexenal (0.47%-0.73%), 1-octanol (0.25%-0.50%), linalool (0.70%-2.16%), ethyl butyrate (0.28%-2.59%), ethyl caproate (5.39%), ethyl acid ethyl ester (0.29%-1.86%), geranylacetone (0.07%-0.25%). The volatile flavor components of the three treatments were 34, 36 and 50, respectively. Enzymatic peeling method was used for detection oxidation of limonene, (E)-2-hexenal flavor. Conventional (artificial) peeling method was used detection oxidation of limonene, (E)-2-hexenal flavor, ethyl hexanoate, hexyl butyrate flavor.
Hydraulic extension ability of radial jet drilling with multi-nozzles jet bit
Authors: Qin Dawei , Liu Quanwen , Wu Qilin , Huang Shen 
Published: May 2020

Abstract
Radial jet drilling technology, which utilizes hydraulic energy of jet to create multiple radial micro-laterals in different layers from the main borehole, has been used widely as an effective approach to enhance the oil recovery, and the extreme extension length of radial micro-laterals affects the effect of simulation directly. However, the prediction model for hydraulic extreme extension ability of RJD has been rarely studied. In this study, a modified model for hydraulic extreme extension ability is proposed based on the force analysis of RJD system and related calculation models for frictions are developed by theoretical and experimental methods. In order to obtain the maximum extension length, the influential factors including flow rate of drilling fluid, specifications of flexible hose, and structure parameters of jet bit are investigated. The results indicate that the hydraulic extension ability of RJD presents a significant positive correlation with the flow rate of drilling fluid and the inner diameter of flexile hose. Although an increase of the number of backward nozzles or its diameter can improve the extreme extension ability of RJD, there is still an optimal value for both the number and diameter of backward nozzles. Without sacrificing the rock-breaking and expanding ability of jet bit, the number of forward nozzles and the angle of backward nozzles should be minimized. Furthermore, a field case of RJD proves the prediction model is favourable for drilling engineering, with a model error of less than 8.5%.
The Study on Extraction Technology of Essential Oil from Tribute Citru
Authors: Wu Ya , Chen Guangfang , Liu Bihui , Zhao Xin 
Published: May 2020

Abstract
The essential oil from Tribute Citru peel was extracted by steam distillation. The extraction method was studied by single factor test and orthogonal test. According to the experiment results, the order of influence was: distillation time, sodium chloride solution concentration, soaking time, material-liquid ratio. The optimum condition determined by orthogonal test was 3.0% sodium chloride solution in the solid-liquid ratio of 1:16 and distillation time was 1.5h without soaking. Under this condition, the extraction yield of essential oil from Tribute Citru peel reached 9.29%.
Rock typing from cored intervals to all wells with method of decision tree
Authors: Wang Xinglong , Li Chen , Chen Peiyuan 
Published: May 2020

Abstract
Rock typing is a fundamental work in geology study of oil and gas field. Generally, it is difficult to define a quantitative relationship to expand the classification from cored intervals to all wells with the traditional method based on geologic origin analysis, when rock of complex pore structure is confronted. On the basis of conventional core analysis and well logs, the authors propose a workflow to extend rock typing from cores to all wells with the method of decision tree. In the study case of F oilfield from Middle East, the method and workflow not only predict the rock type on wells, but also get satisfying precision of permeability impetration. Therefore, when data used to quantify pore structure is scare and traditional rock typing method is impossible, the method and workflow founded on decision tree could be a universal alternative.
CNN Based Fault Recognition with Multi-Scale Fusion Attention Mechanism
Authors: Wang Bo , Ma Jinwen 
Published: May 2020

Abstract
In geological exploration, seismic data interpretation is very important and its key task is fault detection or recognition. In fact, the accurate recognition of fault shape and distribution plays an important role in oil and gas exploration. With the increasing demand of fault interpretation accuracy in oilfield, traditional manual fault interpretation methods are susceptible to subjective factors of interpreters. With the rapid development of deep learning technique, convolutional neural networks (CNNs) has successfully applied to the complicated tasks of image classification. This paper utilizes proposes a CNN based fault recognition framework with a multi-scale fusion attention mechanism. It is demonstrated by the experimental results that our proposed approach is superior to the traditional methods on both the fault interpretation accuracy and efficiency of 3D seismic images, greatly reducing the risk of oil and gas exploration and development. With a GeForce GTX 1080 GPU, the training processing takes about 4 hours and predicts the faults in a 33×33×33 seismic volume using only tens of milliseconds.
Risk Assessment of Debris Flow in Longchi Area of Dujiangyan based on GIS and AHP
Authors: Xiao Hai , Tang Xingsheng , Zhang Hongtao 
Published: May 2020

Abstract
In this study, a combination of analytic hierarchy process (AHP) and geographic information system (GIS) was used to analyze and obtain remote sensing images and digital elevation models (DEM) in the area through field surveys. The seven factors of rock layer type, vegetation cover index (NDVI), slope, height, fault influence zone, river influence zone and highway influence zone were selected. The purpose is to study the distribution range and law of debris flow at different levels in the area. The results show that the area is a highly prone area for debris flow for sand-mud interlayer and NDVI less than 0.10, the slope between 30 ° and 45 °, the height between 950-1300 meters, the fault impact zone within 400 meters, the river within 100 meters on both sides of the river, and the highway is 75 meters on both sides.
Research on Iterative Calibration Method of Linear Model Parameters of Gravity Sensor
Authors: Lu Shuhai , Cao Juliang , Shaokun Cai , Yu Ruihang , Yang Bainan 
Published: May 2020

Abstract
In recent years, the calibration method of Strapdown gravimeter has become the bottleneck of relative gravity measurement accuracy. Based on this situation, this thesis studies the parameter iterative calibration method of SGA-WZ03 strapdown gravimeter to break the bottleneck of relative gravity measurement and further improve the measurement accuracy of relative gravimeter in flight experiment through the improvement of calibration method Degree. The parameter iterative estimation algorithm is based on the pulse output model of a single accelerometer to establish the linear pulse output model of the accelerometer components. Using the idea of parameter separation, the two-step iterative estimation of the model parameters and the tilt vector can complete the calibration of the linear model and the secondary model of the accelerometer. Compared with the traditional 24 bit calibration method, the parameter estimation iterative estimation calibration method has better stability than the traditional method.
Analysis of Design Rainfall Depth in Sponge City Construction — a Case Study of Hefei, China
Authors: Song Xinwei , Tu Youxiao , Chai Luxiu 
Published: May 2020

Abstract
The design rainfall depth is an important parameter in the construction of sponge cities. Based on the analysis of 39 year daily precipitation data in Hefei city, this paper concludes that the inter-annual and intra-annual distribution of precipitation in Hefei is uneven. Based on the comparison and analysis of volume capture ratio of annual rainfall calculation method and rainfall percentage control calculation method for design rainfall depth, it is proposed that the designed rainfall in Hefei should not be too high, and it provides suggestions for the construction of the sponge city in Hefei.
Insects and ecosystem characteristics of the Shuinan Formation in Laiyang Basin
Authors: Liu Hongliang , Qin Peng , Liang Zhihao 
Published: May 2020

Abstract
Since 1923 to 2006(84 years), many insect fossils have been found and reported from Shuinan Formation in Laiyang basin. The researchers included Grabau, Ping Zhi, Hong Youchong, Zhang Junfeng, Wang Wenli, Yang Jikun, et al. The insect group from Shuinan Formation consist of terrestrial and aquatic insects, most of it is terrestrial insects. Its represent-ative species are: Chironomapteria gregaria, Mesolygaeus laiyangensis, and Coptoclava longipoda. By contrast, the era of Shuinan Formation is Early Cretaceous Epoch. According to the statistics, the insect fossils have 12 orders, 67 families, 131 genera and 161 species, thereinto, 5 genera’s familiae incertae sedis. The dominant insects were Diptera, Coleoptera and Hymenoptera, which were obviously different from the present ones. There are four levels of food chain among insects: plants (producers) - primary consumers - level two predators - level three predators. According to fossil insects and the other biology fossils from Shuinan Formation, this paper analyzes the ecological characteristics of the ancient Laiyang basin at the time. It provides the foundation for the protection of insect fossils production in Laiyang basin and the construction of the Cretaceous National Geopark in Laiyang City Shandong Province.