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亚洲精细农业与计算机农业应用联合大会

作者： Gaili Gao daoliang li Shouhai Shang college of engineering china agricultural university beijing 100083 china college of information and electrical engineering china agricultural university beijing 100083 chinacollege of engineering china agricultural university beijing 100083 china

In this paper, it is first proposed that area CCD may be used to detect the movement speed of cotton or foreign fibers in a cotton flow pipeline. A new method is presented for using the RGB color coordinates to identify CCD images of the cotton flow and adopting the RGB coordinate distance to distinguish the exact location of the same cotton line from two adjacent images. Eight CCD images of the different foreign fiber in cotton, a CCD image of raw cotton and a CCD image with a black background are selected. A 6×6 pixel small image is chosen from each of that ones. The RGB color coordinates of the small images are calculated with the use of the function from the Matlab image processing tools. It may be found that the RGB coordinate data of the different types of foreign fibers, the cotton and black background have a marked difference. By tracking the RGB coordinate datum sequence of some line pixel points in the images, the exact location of movement cotton or foreign fibers in two adjacent images can be identified. And furthermore according to the CCD frame rate, the instantaneous speed of the cotton flow or foreign fibers can be got.

关键词： cotton foreign fiber speed detection.

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DCDDS: A Dairy Cow Disease Diagnosis System for Dairy Farm in china

DCDDS: A Dairy Cow Disease Diagnosis System for Dairy Farm i...

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第四届智能化农业信息技术国际学术会议

作者： libin rong~(1,2) daoliang li~(1,2,*) 1 china agricultural university,college of information and electrical engineering,beijing 100083,china 2 Key Laboratory of Modem Agriculture System Integration,china agricultural university,beijing 100083

＜正＞Fish disease diagnosis is a complicated process and requires high level of ***, there’s no accepted general knowledge in fish disease *** paper describes a web-based CBR （case-based reasoning）system for fish disease *** of relying on general domain knowledge,CBR utilizes the specific knowledge of previous cases and solves a new problem by hunting out a similar case,and reusing it in the new problem.A two-step case retrieve model is proposed in this *** new case is initially identified which case base it belongs to,then the similarity is calculated using nearest neighbor method between the new case and the previous cases in the case base, finally the most similar one is found out and the solution is *** process of developing the web-based CBR system for fish disease diagnosis, the system structure and its components,such as knowledge base,case base and their functions,are described in this *** experiences with developing CBR system are discussed and conclusions are provided at the end of the paper.

关键词： Case-based reasoning Fish disease diagnosis Nearest Neighbor

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Dissolved Oxygen Prediction in Apostichopus Japonicus Aquaculture Ponds by BP Neural Network and AR Model

Dissolved Oxygen Prediction in Apostichopus Japonicus Aquacu...

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第三届国际计算机及计算技术农业应用学术会议

作者： Feifei li daoliang li~* Yaoguang Wei Daokun Ma and Qisheng Ding college of information and electrical engineering china agricultural university beijing 100083 P.R.china

＜正＞In the process of rearing sea cucumber Apostichopus japonicus,Dissolved Oxygen（DO） concentration adjustment and control is the key point to sea cucumber *** paper proposed both traditional time series method（auto regressive（AR） model） and BP neural network for the DO concentration forecasting in sea cucumber aquaculture *** aim to make four different interval length（0.5 hour,1 hour and 2 hours） prediction of DO concentration in sea cucumber breeding *** DO concentration is the result of many factors,such as water temperature,solar radiation, water level,air temperature,PH and EC value of water,*** different factors have complicated nonlinear relations which are difficult to describe with simple mathematical formula. A BP neural network using water temperature,past time DO concentration and EC value as inputs to make 2 hours ahead DO concentration prediction was constructed in this *** model was also employed to forecast the DO *** show that predictive values of both models are accurate according to the observed *** AR model has better performance in short interval prediction and BP neural network does better in longer interval *** models demonstrated potential for use as an intensive aquaculture management and forecasting tool to predict the near-term DO concentrations.

关键词： DO Concentration Prediction BP Neural Network AR Model Sea Cucumber

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Using Causality Analysis in the Beef Quality information Tracing

Using Causality Analysis in the Beef Quality Information Tra...

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第三届国际计算机及计算技术农业应用学术会议

作者： Hui li~1 daoliang li~2 Weizhe Feng~3 Weisong Mu~2 Xinxing li~4 Zetian Fu~(2*) 1 china agricultural university P.O.Box 209 beijing P.R.china 100083 2 college of information and electrical engineering china agricultural university P.O.Box 209 beijing P.R.china 100083 3 International college at beijing china agricultural university beijing P.R.china 100083 4 college of engineering china agricultural university P.O.Box 209 beijing P.R.china 100083

＜正＞Causal relation analysis is a promising application in product quality tracking and *** the quality safety problems in china beef production, the causal relation analysis was introduced into the beef quality safety tracing system and a causal approach-based tracing method was proposed. Considering the implicity,complexity and dynamic characteristics in beef quality safety causal relations, based on its mechanisms,a beef quality safety event representation method was studied based on the extended spanning tree *** the detection algorithm was developed based on an improved minimum spanning tree *** consideration of the time relations,hierarchical relations and causal relation between the beef quality safety events,an approach was proposed for the output of hierarchy view and solution of the causal tracing problems. Finally,through the investigation in the beef production manufactures,the proposed method got sound validation.

关键词：

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A Survey of Stickiness of Agriculture Knowledge Acquisition in china

A Survey of Stickiness of Agriculture Knowledge Acquisition ...

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亚洲精细农业与计算机农业应用联合大会

作者： Weizhe Feng 1 daoliang li 2 Yanqing Duan 3 Zetian Fu 2 1 International college at beijing china agricultural university beijing P. R. china 100083 2 college of information and electrical engineering china agricultural university beijing P. R. china 100083 3 Business School university of Bedfordshire Luton LU1 3JU UK

The concept of stickiness in this study was borrowed from information research literature, which indicated the complex and difficulties in all process of knowledge transfer that including knowledge acquisition. To reveal the stickiness of agriculture knowledge acquisition in china, a survey was conducted of agriculture related websites in china. Firstly, an intensive literature review was done for collecting attributes closely associated with agriculture knowledge and its acquisition process. Secondly, these attributes were cate- gorized and transformed into questionnaire and surveyed in 14 provinces in china. Thirdly, the data were tested with principal component analysis methods. As results, this study concluded that four factors that may affect the stickiness of agriculture knowledge, namely, difficulty, special tacitness, available explicitness, and proven knowledge;five factors that may affect stickiness of agriculture experts. They include attitudes, professional, expression capability, teamwork, and protectiveness;and five factors that may affect stickiness of agriculture institutions, attitudes, service orientation, distance, protectiveness, and professional. In conclusion, it was suggested that the three groups of principal factors can be used to guide the planning and assessment of ICT-based knowledge projects in rural areas. The study also highlighted a new area for ICT-based information and knowledge transfer research.

关键词： stickiness agriculture knowledge acquisition principal component analysis

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Wireless sensor network for Continuous monitoring water quality in Aquaculture farm

Wireless sensor network for Continuous monitoring water qual...

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亚洲精细农业与计算机农业应用联合大会

作者： Daokun Ma 1 Qisheng Ding 1 2 daoliang li 1 linlin Zhao 1 1 college of information and Electric engineering china Agriculture university beijing P. R. china 100083 2 School of electrical engineering and Automation Xuzhou Normal university Xuzhou P. R. china 221116

The Digital Wireless Monitoring System for water quality continuous measurement in aquaculture was developed based on IEEE802.15.4 standard and ZigBee. Multi-parameter water quality node, temperature chain node, routing node and an on-site monitoring center were designed and implemented. Multi-parameter water quality node was created for measurement of DO, EC, Water Lever and temperature in sea cucumber ponds. A temperature chain node is designed to monitor temperature profile change especially. Three types of energy supply were adopted to achieve demand of indoor and outdoor application in aquaculture farm. Both multi-parameter water quality node and temperature chain node are reduced funcition devices, which send measurement data to routing node. The Routing node used to extend the range of continuous monitoring in aquaculture farm. The DWMS with six multi-parameter water quality nodes, two temperature chain nodes, three routing nodes and one on-site monitoring center was integrated and evaluated in Marine Aquaculture Demonstration Center, Dongying, Shangdong, ***. Continuous monitoring data revealed that the system based on WSN was cost effective, easy- to-use, and reliable.

关键词： aquaculture water quality measurement WSN ZigBee

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A MODEL TO PREDICT SHELF-liFE LOSS OF HORTICULTURAL PRODUCE DURING DISTRIBUTION WITH FLUCTUATED TEMPERATURE AND VEHICLE VIBRATION

A MODEL TO PREDICT SHELF-LIFE LOSS OF HORTICULTURAL PRODUCE ...

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The Second IFIP International Conference on Computer and Computing Technologies in Agriculture (CCTA2008)

作者： Weiwei Gong1 daoliang li2 Xue liu2 Jun Yue 2 3 Zetian Fu 1 * 1 college of Economics and Management china Agriculture university beijing P. R. china 100083 2 college of information and electrical engineering china Agriculture university beijing P. R. china 100083 3 college of Management Ludong university Yantai Shandong Province P. R. china 264025

Fresh fruits and vegetables has become a public concern from the food security aspect. And the prediction of shelf-life loss under the fluctuated temperature becomes one of the key problems in food supply chain operation. So this paper identifies the impact aspects of produce decaying during distribution. For the key temperature factor, the process is divided into three phases: sorting, traveling and door-opening. Based on time-temperature function, a model of shelf-life loss of horticultural produce during distribution is developed by evaluating respiration rate of vegetables and fruits considering both the environment fluctuated temperature and vehicle vibration during traveling. Taking eggplant as an example, the numerical experiment result demonstrates that the average cost for ambient distribution is 2.8 times of the insulation way.

关键词： shelf-life horticultural produce distribution respiration rate

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Underwater sea cucumber identification via deep residual networks

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information Processing in Agriculture 2019年第3期6卷 307-315页

作者： Xiangyun Guo Xuehua Zhao Yahui liu daoliang li School of information Management Beijing Information Science&Technology UniversityBeijingChina School of Digital Media Shenzhen Institute of Information TechnologyShenzhenChina college of information and electrical engineering China Agricultural UniversityBeijingChina

Sea cucumber culture and fishing are primarily dependent on manual *** fast and accurate automatic identification of sea cucumbers,deep residual networks with different configures were conducted in this experiment to identify underwater sea *** cucumber images were captured by a C-Watch remotely operated underwater vehicle(ROV)in a sea cucumber fishery at Haiyang Qiandao Lake in Shandong Province,china and sliced to positive samples and negative *** training algorithms,namely,the stochastic gradient descent algorithm(SGD)and Adam,activation functions ReLU and leaky ReLU,as well as learning rates of 0.001,0.005,0.01,0.05,and 0.1 were combined to form different models,which were trained with epochs 200 times and mini-batch of *** results showed that the accuracy of each model was higher than 82%,and the highest accuracy reached 89.53%under the SGD algorithm with ReLU and a learning rate of 0.05 or 0.1,which showed better generalization ability than that of other *** performance of the proposed method indicates a great potential for automatic sea cucumber identification.

关键词： Sea cucumber Identification Convolutional neural networks Deep residual networks

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Measurement investigation on the feasibility of shallow geothermal energy for heating and cooling applied in agricultural greenhouses of Shouguang City: Ground temperature profiles and geothermal potential

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information Processing in Agriculture 2021年第2期8卷 251-269页

作者： Anh Tuan Le liang Wang Yang Wang daoliang li National Innovation Center for Digital Fishery China Agricultural UniversityBeijing 100083China beijing engineering and Technology Research Centre for Internet of Things in Agriculture Beijing 100083China Key Laboratory of agricultural information Acquisition Technology Ministry of AgricultureBeijing 100083China college of information and electrical engineering China Agricultural UniversityBeijing 100083China Department of Electronics Nam Dinh University of Technology EducationNam Dinh 07000Viet Nam

The use of electrical energy for heating and cooling systems to control the temperature in greenhouses will lead to high production and product *** solve this problem,shallow geothermal energy as a local source of energy could be *** this study,a measurement model,the distribution profiles of temperature,and a preliminary assessment of the geothermal potential in the shallow zone at depths of 0.1 m to 3.6 m in Shouguang City,Shandong Province,eastern china were *** measurement results showed that the annual average temperature at depths of 0.1–3.6 m ranged from 13.1℃ to 17.6℃.Preliminary assessment results of the geothermal potential showed that the daily average temperature difference between the air and at depths of 1.5–3.6 m was mainly from 10℃ to 25℃ during the winter months and between-15℃ and-5℃ during the summer ***,the heating systems could operate during January,February,November,and *** May,June,and July,the cooling systems could be ***,the measurement model gave good stability results,and it could be used in combination with the monitoring of the groundwater table,a survey of the thermal conductivity of the soil,climate change studies,which helps reduce unnecessary time and costs.

关键词： Ground temperature profile Geothermal energy Ground heat exchanger Measurement model Shouguang

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A review of hydrological/water-quality models

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Frontiers of agricultural Science and engineering 2014年第4期1卷 267-276页

作者： liangliang GAO daoliang li college of information Science and engineering Shandong Agricultural UniversityTai’an 271018China college of information and electrical engineering China Agricultural UniversityBeijing 100083China

Water quality models are important in predicting the changes in surface water quality for environmental management.A range of water quality models are wildly used,but every model has its advantages and limitations for specific *** aim of this review is to provide a guide to researcher for selecting a suitable water quality *** well known water quality models were selected for this review:SWAT,WASP,QUALs,MIKE 11,HSPF,CE-QUAL-W2,ELCOM-CAEDYM and *** model is described according to its intended use,development,simulation elements,basic principles and applicability(e.g.,for rivers,lakes,and reservoirs and estuaries).Currently,the most important trends for future model development are:(1)combination models—individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results,(2)application of artificial intelligence and mechanistic models combined with nonmechanistic models will provide more accurate results because of the realistic parameters derived from nonmechanistic models,and(3)integration with remote sensing,geographical information and global position systems(3S)-3S can solve problems requiring large amounts of data.

关键词： water quality models applications future trends

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