bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review on Applicability of Vision-based Detection Technology in Field Obstacle Detection
Authors: Wang Qiao , Meng Zhijun , Liu Hui 
Published: May 2020

Abstract
In order for robotized field operation by agricultural machineries and complete replacement of manual work in field operation, autonomous obstacle avoidance of agricultural machineries during field operation becomes a critical technology to be solved. For this technology, it is an indispensable requirement and critical premise to timely and accurately perceive static and dynamic information of field obstacles. Firstly, this paper analyzes and determines what obstacles are the target obstacles in the field operation of agricultural machineries from the two aspects - whether the obstacles hinder current operation and whether the obstacles hinder current obstacle avoidance process. Subsequently, this paper mainly discusses the applicability of obstacle detection methods based on monocular vision and binocular stereo vision in field environment: the main existing monocular vision-based methods to detect obstacles are summarized, and their restraints for detecting obstacles in the field are analyzed; considering that precise stereo matching of image pairs is the most complicated and time-consuming part of binocular vision-based detection methods, currently used typical stereo matching algorithms are summarized and compared, and their applicability in field obstacle detection is discussed. At last, the research direction is prospected, and a tendency to detect obstacles for agricultural machineries during field operation is based on multi-sensor fusion system with vision sensor as one of the main sensors.
Discussion on the structure and function of seeds to Cerasus discoidea
Authors: Nan Cheng-Hui , Xue Xiao-Ming , Xie Chun-Ping , Yi Xian-Gui , Wang Xian-Rong , Yan Yi-Han 
Published: May 2020

Abstract
Through morphological anatomy, viability measurement, seed germination and seedling growth observation, it was found that there was a ring band structure between the brown seed coat and embryo of Cerasusdiscoidea, which was the residual endosperm of Cerasus, and the seeds of Cerasus are composed of seed coat, remaining endosperm and embryo. The remaining endosperm consists of two parts: the endosperm sheath and the endosperm ring. Remaining endosperm is beneficial to the maintenance of seeds viability and the protection of seeds embryo germination and growth.
Identifyingthefactors affecting on farmers’ intention to engage in organic certification scheme in China
Authors: Tang Yan 
Published: May 2020

Abstract
The main purpose of this study is to investigate the factors affecting the intention of farmers to engage in organic certification scheme (OCS) in China. A research-based model incoroprating the theory of planned behavior (TPB) is proposed to obtain a better understanding of psychological factors that influence farmers’ intention to adopt improved fertilization practice under OCS. The TPB hypothesizes that adoption is driven by intention, which in turn is determined by three psychological constructs: attitude, subjective norm, and perceived behavioural control. Results show that factors leading to a greater probability of changing fertilizer application in accordance with the organic certification scheme included age, perceived resources, subjective norms, crop type, and attitude.
Effects of organic manure application on blueberry fruit quality and soil condition
Authors: Wang Xun , Li Yuan , Ye Xiaoshuang , Kang Xiaoru , Wang Jin 
Published: May 2020

Abstract
The present study investigated organic manure of southern highbush blueberry cultivated in southwestern China. We studied the efficiency of three organic fertilizers produced from locally accessible resources, namely rapeseed residue (RS-R), cattle manure (Cat-M), and chicken manure (Chi-M). Fruit quality, and soil chemical properties were analyzed. Rapeseed residue at the highest concentrations (2 or 3 kg RS-R plant−1) improved fruit sweetness (total soluble sugar and water-soluble sugar contents) and anthocyanin content, and depressed soil pH.
Effect of the control of white-blush of fresh-cut carrot and its process optimization
Authors: Chen Chichang , Chang Xiguang , Chen Xiangning 
Published: May 2020

Abstract
In order to control the whiteness of fresh-cut carrots and optimize the fresh-keeping process of fresh-cut carrots, taking whiteness value, sensory quality evaluation and total carotene content as indicators, a single factor experiment was designed to compare the different concentrations of citric acid and ascorbic acid, and the effect of different packaging materials on fresh-cut carrots was analyzed by grey correlation degree; by using the optimal concentration of color-protecting agents, three packaging materials with good effects, and different cleaning agents as research factors, orthogonal experiments were designed to optimize the fresh-keeping conditions of fresh-cut carrots. The results showed that 0.60% citric acid and 0.40% ascorbic acid can significantly (p < 0.05) inhibit the whitening of fresh-cut carrots. The best fresh-keeping process was that packaging with No. 15 packaging material, water as the cleaning agent, and 0.60% lemon Acid + 0.40% ascorbic acid for color protection.
Research on pig face recognition model based on keras convolutional neural network
Authors: Wang Ke , Chen Changxi , He Yuxiang 
Published: May 2020

Abstract
Traditionally, the RFID technology is generally used for the identification of pigs in vivo. However, the method of electronic ear tags and ear tags will cause great pain to the pigs, then ear tags will easily fall off during the pig’s activities, increasing the operating cost of the enterprise. This paper uses the powerful feature learning and feature expression capabilities of convolutional neural networks in deep learning to automatically learn the facial features of pigs. Use the Image Data Generator that comes with Keras to perform data enhancement on the pig face pictures of ten pigs and generate pig face dataset. This paper proposes a convolutional neural network model based on LeNet-5 for facial image recognition of pigs. Experimental comparisons were performed by using SGD, Adam and rmsprop optimizers with dropout ratios of 0.3, 0.5and 0.7. Experiments show that when the SGD optimizer is used and dropout is 0.3, the model recognition rate is the highest, which can reach 97.6%.
Meteorlogical outliers detection based on artificial intelligence
Authors: Xue F , Zheng W , Zhang M , Wu Q , Yang Z , Ai X 
Published: May 2020

Abstract
To precisely evaluate the effect of artificial precipitation of Project Tianshui, anomaly data within the large dataset collected is supposed to be detected and dealt with reasonably, to enhance the analysis and prediction of the data. Using the data accumulated from 2008 to 2017 from Wushaoling Meteorological Station, and the data from May 2019 to October 2019 from the dedicated supervising network built for the project, taking temperature(0.1°C) and other meteorological data as example, anomaly dectection is conducted by the arithmetics Local Outlier Factor and Isolation Forest respectively. Consistency check is also conducted via the two arithmetics. The main outliers of the accumulated data for ten years are isolated outliers. LOF works pretty well, while Isolation Forest performs unsatisfying. The main outliers of the dedicated supervising network data are of a continuous outlier sequence. LOF can hardly detect the anomaly, while Isolation Forest precisely find out the outliers. Both arithmetics perform well on consistency check in space. The differences of LOF and Isolation Forest are compared. New ideas of using artificial intelligence arithmetics to detect meteorological outliers and pre-process the data are provided.
Effects of biochar application at different rates on chili growth
Authors: Song Zewei , Zhang Yuchan , Kudakwashe Meki 
Published: May 2020

Abstract
Biochar is a solid carbonaceous residue from biomass pyrolysis under anaerobic conditions. It has been well-known that biochar enhances plant growth and improve soil quality as the soil amendment. However, for chili (Capsicum annuum L), it is unknown whether biochar addition has any effect on its productivity. Thus, we studied the effects of different dosages of biochar addition at rates of 1.5% and 3% (w/w,1.5%BC and 3%BC) on the germination and growth of chili using a pot experiment. The results show that the 3%BC increased the weight of fresh shoots and roots by 17.4% and 14.6%, respectively. However, the addition of biochar has no pronounced effect on the chili yield. Therefore, it is very important to choose the appropriate biochar and addition proportion for its application in agricultural soils.
Study on leakage plugging agent for steam well casing of heavy oil injection
Authors: Cao Mengmeng , Wang Haiwen 
Published: May 2020

Abstract
This paper analyses the causes of the casing leaks of heavy oil thermal recovery wells, and analyses the trapping and sealing methods used in the current oil fields and their existing problems. Aiming at the problems of poor temperature resistance, insufficient strength, short plugging period and high cost for traditional cement and polymer plugging agents, a high temperature resistant plugging agent suitable for plugging in steam injection wells has been developed. The performance of the plugging agent was analysed and evaluated. The research shows that the high temperature-blocking agent has high strength, high temperature resistance, and high salinity and easily injected. It can withstand temperatures up to 300 °C and strength above 90 MPa. The plugging agent can meet the application requirements of the steam injection well.
Application of rock brittleness evaluation in tight oil exploration—— Taking Lijiaweizi Fault Depression in Qijia Area as an Example
Authors: Zeqiang Wang , Yunfeng Zhang , Bo Sun 
Published: May 2020

Abstract
Brittle rock is one of the key factors in the use of unconventional oil and gas exploration technology to be considered, The stronger the brittleness of rock is, the easier to produce fractures to form fracture network in the over flushing of fracturing, the stock of oil and gas storage layer will be increased, and the production of single well will be increased. At present mainly based on rock elastic parameters, we use Young’s modulus and Poisson’s ratio of two ways to analyze brittle rock in earthquake prediction evaluation. However, since these two methods in the process, both the need for elastic parameters of rock normalized, leading to large errors, adaptability reduce. Based on this, we propose a Young’s modulus and Poisson’s ratio coefficient of utilization of compared to the brittle rock evaluation method to effectively improve the accuracy of prediction and evaluation of brittle rock and anti-jamming capability, while the brittle evaluation method based on the use of pre-stack seismic inversion of elastic parameters to Qijia area of Songliao basin compact oil brittle rock predict deployment guidance wells to obtain stable high level of industrial oil flow.
Experimental study on single phase flow characteristics in tight sandstone oil reservoirs
Authors: Liu X F , Zhao Z L , Li J F , Sun N , Chen Z J , Ji A Z 
Published: May 2020

Abstract
Tight oil resource is distributed worldwide and has great potential for exploration. As tight sandstone reservoirs have small pores and narrow throats, the liquid boundary layer has great influence on the seepage, inducing starting pressure gradient during fluid seepage. In this paper, flow characters of both single water and single oil phase is investigated. Results show that the curve of flow velocity vs. the pressure difference doesn’t pass through the origin. Extending the trend line will intersect the abscissa pressure difference, indicating it is non-Darcy flow for both single water and oil in tight sandstone cores. The permeability increases slowly with the increase of displacement pressure difference until basically stable.
Rock alteration adjacent to fractures and its effect on reducing capacity in Beishan granite
Authors: Tian Xiao , Wang Ju 
Published: May 2020

Abstract
In order to determine the rock alteration and its effect on reducing capacity in Beishan granite, mineralogy and geochemical analysis of the rock adjacent to fractures have been preliminarily performed during site characterization. The results show that the altered rock takes some specific changes in mineralogy and chemical composition compared with the unaltered rock. The variation of some elements (Na2O, CaO, Fe, etc.) content in the specific altered rock is mainly related to the changes in mineralogy. The Fe(II)/Fetotal-ratio analysis indicates that the alteration around fractures has little effect on reducing capacity of the bedrock.
Analysis technology and application of natural fractures based on microseismic monitoring results
Authors: Li Hao , Fan Li , Qin Li , Tang Yong , Huang Yaqiu 
Published: May 2020

Abstract
In general, the matrix permeability of shale reservoirs is small, and a developed natural fracture network is required to obtain a good mining effect. Therefore, analyzing and understanding the development of natural fractures in the reservoir plays an important role in increasing the production capacity of shale gas. Microseismic monitoring is the key technology of fracture imaging during hydraulic fracturing. Based on the results of ground microseismic monitoring, this paper analyzed both the waveform and energy of microseismic event, as well as the spatial distribution law, and also combined it with the surface seismic attribution data, formed a natural fracture analysis technology based on the results of microseismic monitoring, which played an important supporting role in real-time optimization and guidance of hydraulic sand fracturing.
Study on Fast Test and Calculation Method of Integrity Coefficient of Surrounding Rock During Tunnel Construction
Authors: Cai Jianhua , Jibin Liu , Ting Xu , Yongyue Shi 
Published: May 2020

Abstract
In this paper, the need of obtaining the rock integrity index in the rapid classification of surrounding rock during the tunnel construction is briefly described. The conventional rock integrity index is introduced and the rapidity of its test acquisition is analyzed. Based on the design of quick test arrangement for rock integrity coefficient, a method of data acquisition and preprocessing for field test of wave velocity of rock block (body) in face is proposed. For the first time, two calculation models of rock block wave velocity and rock mass wave velocity are put forward, one is the calculation model of asymptote method, the other is the calculation model of trend line method. The principle, calculation process, reliability and adaptability of the two calculation models are analyzed and compared. Finally, the trend line method is proposed as the integrated solution of rock block and rock mass wave velocity. Thus, the rapid acquisition of rock integrity coefficient is realized, which lays the key technical foundation for the rapid classification of surrounding rock and the research and development of equipment system during the tunnel construction period, and finally provides the basis and guidance for the dynamic design and construction of tunnel engineering.
The current status and further developments of geohazard monitoring and early warning program in China
Authors: Bing Han , Bin Tong , Yanling Zhang , Chunrong Yin 
Published: May 2020

Abstract
China is one of most severely threatened countries by geohazard in the world. To further improve the capacity of geohazard prevention and reduce potential damage, meteorological early warning on various scales, mass prediction and disaster prevention and professional monitoring have been implemented and achieved great progress, which lead to the great reduction in number of casualties. However, with the increase of engineering disturbance, tectonic activity and extreme climate events, the prevention and mitigation of geohazard should be further strengthened from different perspectives including the implementation of field investigation on geohazard triggering conditions, advancement and application of regional geohazard mapping, improvement of regional meteorological early warning, monitoring of geohazard development using integrated technologies involving remote sensing, LiDAR, InSAR, etc, and capacity of observation and monitoring by public.
Study on the influence of water systems and roads based on arcgis on the layout and morphology of the forest plates in western Sichuan
Authors: Wan A J , Liu Y X , Xie X J , Tu R Q , Qi X L , Chen H L 
Published: May 2020

Abstract
The research is about the influence of water source and road traffic conditions on the layout and pattern of the forest plates in western Sichuan, which provides a scientific basis for the quantitative description of the forest plates in western Sichuan. This paper establishes the gis research platform based on the relevant basic data of the research area provided by the Deyuan Town Government. The buffer zone analysis, neighborhood analysis, fractal analysis and variance analysis were used to study the relationship between the shape and pattern of the forest plates and the water system and the road. The trend model of the forest plates’ circular rate and the distance between the road and the water system was constructed respectively. The research results are that the optimal distribution distance of the forest plates from the water system is 10∼40m. The optimal distribution distance of the forest plates from the road is less than 50m. In the buffer zone of 0-50m and above, the road has a greater influence on the morphology of the forest plates. The trend model of the forest plates’ circular rate and the distance between the road and the water system respectively is nonlinear. Compared with the water system, the forest plates tends to be distributed in places with better road conditions.
Approaching the Forming Environment of Shelly Chenier in the West Coast of Bohai Bay: exemplified by Chenier III in Yucenzi site
Authors: Jing Fang , Zhiwen Shang , Wang Fu , Yang Li , Zhang Liping , Yang Shuo , Wang Tianjiao , Liu Yufei , Yang Yongqiang 
Published: May 2020

Abstract
In order to explore the causes of formation of the cheniers on the west coast of Bohai Bay, the Yucenzi chenier near the third chenier on the West Coast Plain of Bohai Bay is taken as the research object, and drilling investigations of the sediment under the Yucenzi chenier was conducted to measure the conductivity of the slime turbid water and identify the foraminifera of the drilling samples. The results showed that the underlying sediments of Yucenzi chenier are formed by a 534m thick continental sedimentary layer, and the chenier does not contact with the marine or transitional sedimentary layer directly. It can be inferred that the Yucenzi chenier belonging to the third chenier is formed through shells accumulated on the supratidal zone during storm tide or spring tide.
Water sensitivity evaluation of sandstone oil reservoirs with ultra-low permeability
Authors: Liu X F , Sun N , Zhao Z L , Xu H W , Li J F , Cao F , Chen Z J 
Published: May 2020

Abstract
The development of sandstone reservoirs with ultra-low permeability has become one of the most important energy resources worldwide. Such reservoirs suffer formation damage easily, such as water sensitivity, from foreign fluid during well drilling and completion for extremely poor physical properties. In order to deeply understand the damage degree of water sensitivity of there reservoirs, water sensitivity analysis of Chang 6 reservoir rock samples was carried out, including water sensitivity of block matrix and fracture rock samples. Results show that there are none or weak water sensitivity damage for block matrix while medium water sensitivity damage for fractured samples. The study is of significance to the reservoir damage control in ultra-low permeability oil reservoirs.
Research and Engineering Practice of Gas Accurate Drainage Technology with Hole-substituted Roadway in Mabao Coal Mining Area of Jinneng Group
Authors: Wang Xiaopeng 
Published: May 2020

Abstract
Take Jinneng Group Mabao Coal Industry as an example, the company carried out research on the precise gas extraction technology in hole-substituted roadway in the mining area, instead of high-drilling lanes and roof high-drilling holes for gas drainage, to achieve better gas drainage effects and projects benefit. Actively exploring the gas management model of Jinneng Group’s high and overburden mines and mine goafs is of great significance for safe and efficient production of the mine.
Color Difference Optimization Method for Multi-source Remote Sensing Image Processing
Authors: Zheng Zhao , Tang Xinming , Yue Qingxing , Bo Ai , Lin Yaoyao 
Published: May 2020

Abstract
This paper proposes an approach to solve the problem of color inconsistency after the fusion and splicing of multi-spectral images of multi-source domestic satellites, by using regularly division the high-resolution remote sensing images, block by block computing the multiple linear regression and percent clip stretch. First of all, the remote sensing image is divided into blocks and multiple linear regression is carried out separately in each block. Secondly, on the basis of the image to be corrected after regression, percentage truncation and stretching are carried out on the over-concentrated gray band, so that the gray histogram distribution of the gray band is similar to that of the reference image. This scheme ensures that all pixels participate in the calculation, which not only improves the accuracy of the model, but also avoids the problems of long processing time and memory overflow caused by the large amount of high-resolution remote sensing image data. At the same time, each scene image selects an appropriate truncation percentage according to the evaluation index to solve the problem of excessive color difference caused by too concentrated image band gray. The experimental results show that the scheme in this paper can effectively solve the problems of too large color difference and too concentrated gray scale in image band. Compared with traditional methods, it has better performance in model accuracy, color retention and time efficiency.
Experimental Study on Blasting Funnel under Cylindrical Uncoupled Charge
Authors: Lv Xianpeng , Lv Fangping , Li Chuan , Wang Hailiang 
Published: May 2020

Abstract
According to the Livingston blasting funnel theory, a series of single-hole blasting funnel tests were performed at the May Fourth Square Station. The relationship curve between blasting funnel volume and drug embedding depth was plotted, and the variation curves of blasting funnel depth, vibration speed and noise with burial depth were obtained. The MATLAB software was used to perform four-term regression on the test data, and the parameters such as the optimal burial depth, critical burial depth, and optimal explosive consumption of the blasting funnel were calculated.
New solar heating system based on graded heat conduction
Authors: Song Wangyu , Shi Decai 
Published: May 2020

Abstract
Building a low-carbon society and developing a low-carbon economy have become the new goals of current development. In China, the energy consumption of buildings, industrial energy consumption, and transportation energy consumption constitutes three major energy consumptions. This project proposes a new type of solar heating device, which uses high-efficiency, fast heat-dissipating, and thermally stable heat-conducting oil instead of water in a traditional heating device as the heat-conducting medium, and designs a new type of solar-heating system based on oil-water grading heat conduction.