1、The 4th International Conference on Agricultural Informatization,Sponsor：Global Agricultural Research Partnership,主办：国际农业研究磋商组织,Organizer： Shandong Agricultural University,承办： 山东农业大学,Taian China2012.12.07,第四届农业信息化国际研讨会,Prof.Zou Ping Dr. & Professor Shandong University Research Interest: Computer Sci
2、ence and TechnologyE-mail： ,Selected Publications: 1.Zou Ping, Application of Computer-centered Information Technology on Agriculture. Journal of Anhui Agri. Sci. 2007，35（2）：619- 620 2.Zou Ping, Explore of Hot Spot Research and Trand of Eevelopment about Computer and Information Technology in Futrur
3、e.Coal Technology.Vol.31，No.03 March,2012：188-189,Prof.Tong Cai Dr. & Professor Kansas State University Research Interest: Agricultural Remote SensingE-mail： ,Selected Publications: Tong Cai,2006.Arid land salinization detected by remotely-sensed landcover changes: acase study in the Siwa region, Jo
4、urnal of Arid Environments vol 66 no. (1) pp. 151167. Tong Cai,2003.Mapping vineyard leaf area with multispectral satellite imagery. Computers and Electronics in Agriculture vol. 38 pp. 3344.,Remote Sensing Applications In Agriculture,Tong Cai,Kansas State University,Outline,1. Introduction 2. Remot
5、e Sensing 3. Applications 4. New Issues,Introduction,Remote sensing has long been used in monitoring and analyzing agricultural activities.Well prior to the first coining of the term remote sensing in 1958 by Eveyln Pruitt of the U.S. Office of Naval Research, scientists were using aerial photograph
6、y to complete soil and crop surveys associated with agricultural areas in the United States and other parts of the world. Pioneering work on remote sensing in agriculture was done by Robert Colwell at the University of California in the 1950s, and during the 1960s new laboratories oriented to applic
7、ations in agriculture, such as the one at Purdue, were developed.,Introduction,In the early 1970s, NASA began funding selected universities via its University Affairs Program in an effort to stimulate the use of remote sensing technologies, and states where agriculture was an important aspect of the
8、 economy began applying remote sensing to that sector. Subsequent investigations have included many types of sensors, and remote sensing has been proven capable of providing the necessary reliable data on a timely basis for a fraction of the cost of traditional methods of information gathering.,Remo
9、te Sensing,Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object. Sensors can be divided into two broad groupspassive and active. The majority of remote sensing is done with passive sensors, for which the sun is the major energ
10、y source. The earliest example of this is photography. The most familiar form of active sensor is flash photography. However, in environmental and mapping applications, the best example is RADAR.,Remote Sensing,Spectral signatures are unique to plant species. The relationship between reflected, abso
11、rbed and transmitted energy is used to determine spectral signatures of individual plants. Remote sensing is used to identify stressed areas in fields by first establishing the spectral signatures of healthy plants.,Applications,The figure illustrates a satellite remote sensing process as applied to
12、 agricultural monitoring processes.,The sun(A) emits electromagnetic energy (B) to plants (C). A portion of the electromagnetic energy is transmitted through the leaves. The sensor on the satellite detects the reflected energy(D). The data is then transmitted to the ground station (E). The data is a
13、nalyzed (F) and displayed on field maps (G).,A,New Issues,Hyperspectral imaging, which allows the detection of small absorption features and biochemical, compounds in the plants, but still base research is needed to understand the connections between biochemical compounds and resulting spectral sign
14、al. New techniques for data interpretation also need to be developed. Increased data availability by satellite clusters, radar satellites or online and ground-based sensors. Driving temporal resolution to the maximum allows the generation of dynamic maps, which offer a new and exciting perspective i
15、nto the time scale, which can help farm management.,New Issues,Coupling sensors remote sensing with growth models. Many plant growth models are available, but modelling is only available on a field scale. Retrieving model parameters by remote sensing allows a site-specific modification of growth and
16、 yield models.,THANK YOU FOR YOUR ATTENTION!,Selected Publications: 1.Ma Hongjian. The Sustainability of Food Supply Chain in China: Review and Comment. Published by Rural Development Institute of Chinese Academy of Social Sciences, 2007.9. 2.Ma Hongjian,Tanaka. A structural model of supply chain ma
17、nagement on firm performance. International Journal of Operations & Production Management. Vol. 30 No. 5, 2010 pp. 526-545.,Prof.Ma Hongjian Dr.& Professor Peking University Research Interest : Agricultural InformatizationE-mail: ,Ma Hongjian,Research on Integrated Information Platform of Agricultur
18、al Supply Chain Management Based on Internet of Things,Peking University,Outline,1. Abstract 2. Technology 3. Platform 4. Conclusion,Abstract,In recent years, accidents in food quality and safety frequently occur, and more and more people have begun to think highly of food quality and safety and enc
19、ourage food producers to be able to trace the origin of ingredients and process of production along the supply chain. With the development of IT, more and more practices have shown that the supply chain of agricultural products should rely on IT. The using of IT directly decides the degree of agricu
20、ltural informatization and efficiency of agricultural supply chain management.,Abstract,In this paper, on the basis of introducing the meanings and characteristics of supply chain management and agricultural supply chain management, it also analyzes the information flows attributes throughout the pr
21、ocess of agricultural supply and the technological attributes of Internet of Things, finally, the designing method and architecture of integrated information platform of agricultural supply chain management based on internet of things was discussed in detail.,Technology,The IOT describes a worldwide
22、 network of billions or trillions of objects that can be collected from the worldwide physical environment, propagated via the Internet, and transmitted to end-users.,Platform,The information platform based on IOT would be an integrated system that integrates all kinds of information which includes
23、the agricultural production, purchase, warehousing, shipment, delivery and retail and realizes the information interchange between different phases. The core function is fast acquisition, seamless connection, reliable transmission and in-time search and trackback of information.,Conclusion,In China,
24、 as a developing country, the research of agriculture informationization still belongs to the beginning level. However, following the occur of IOT, it will advance the developing of digital agriculture, and the research of intelligent agriculture based on IOT will create a huge intelligent agricultu
25、ral production and supply network and connect the entire farm, farm villages and trade market of a big city together. It can not only improve the quality of agricultural product, the efficiency of agricultural production, the level of agricultural product supply, but also efficiently solve the emerg
26、ent dispatch of food in special situation.,THANK YOU FOR YOUR ATTENTION!,Prof.Chen Dong Dr. & Professor Shandong Agricultural University Research Interest: Agriculture InformatizationE-mail: c.dnd163com,Selected Publications: Chen Dong, Chen Liping, Wang Yanji, et al. Optimal arrangement of soil nut
27、rient sampling based on geo-statistics J. Transactions of the CSAE, 2009, 25(Supp.2)：4-55.(in Chinese with English abstract) Chen Dong, The Design and Realization of Embedded Wireless Video monitoring System Based on GPRS, WIC0M2008, 2008,The Study and Application of the lOT Technology in Agricultur
28、e,Chen Dong,Shandong Agricultural University,Outline,1. Abstract 2. Introduction 3. Application 4. System Structure 5. Conclusion,Abstract,In recent years, greenhouse technology in agriculture is to automation, information technology direction with the IOT (internet of things) technology rapid devel
29、opment and wide application. In the paper, control networks and information networks integration of IOT technology has been studied based on the actual situation of agricultural production. Remote monitoring system with internet and wireless communications combined is proposed. At the same time, tak
30、ing into account the system, information management system is designed. The collected data by the system provided for agricultural research facilities.,Introduction,The IOT (Internet of Things) is a network of Internet-enabled objects, together with web services that interact with these objects. Und
31、erlying the Internet of Things are technologies such as RFID (radio frequency identification), sensors, and smart phones. The basic idea of the IOT is that virtually every physical thing in this world can also become a computer that is connected to the Internet. To be more accurate, things do not tu
32、rn into computers, but they can feature tiny computers. When they do so, they are often called smart things, because they can act smarter than things that have not been tagged.,Application,Agriculture greenhouse production environment measurement and control system is an example of IOT technology ap
33、plication in agriculture. The critical temperature, humidity and soil signals are collected real-time in the agriculture production process, which is transmitted by wireless networks through M2M (machine to machine) support platform. It is to gain real-time data of agriculture production environment
34、 using SMS (Short Messaging Service), web, WAP (wireless application protocol) pattern, so that the terminal can master the information to guide the production.,System Structure,Agriculture greenhouse production environment measurement and control system is made up of terminal link, business link an
35、d M2M support platform. Wire sensors can join with communication terminal directly, and then communicate with M2M support platform. Wireless sensors can communicate the M2M support platform through Radio Frequency. Operation management is charge of the service support platform, and the agriculture p
36、roduction monitoring system can get the greenhouse real time data which can send to the mobile terminal through SMS gateway. The structure of Agriculture greenhouse production environment measurement and control system is shown as Fig. I.,Conclusion,The text has studied on the IOT technology applica
37、tion in agriculture, and selected mobile wireless communication technology to achieve greenhouse-site monitoring. Remote monitoring system with internet and wireless communications combined is proposed. At the same time, taking into account the system management, information management system is des
38、igned. The collected data by the system provided for agricultural research and management facilities.,THANK YOU FOR YOUR ATTENTION!,Prof. Zang Chenlong Dr. & Professor Shandong Agricultural UniversityResearch Interest: Agricultural InformatizationE-mail： ,Selected Publications: 1.Application of the
39、AHP in project management. International Journal of Project Management, 19:19-27 2.Applications of qualitative multiattribute decision models in health care. International Journal of Medical Informatics,58-59: 191205,Application of Analytical Hierarchy Process in AgricultureZang ChenlongShandong Agr
40、icultural University,Outline,1.Summary 2.Introduction 3.Conclusion,Summary,Hierarchical decision models are general decision support methodology aimed at the classification or evaluation of options that occur in decision-making processes. Decision models are typically developed through the decomposi
41、tion of complex decision problems into smaller and less complex subproblems. This paper presents an approach to the development and implementation of multicriteria decision model based on Analytical Hierarchy ProcessAHP. Likewise, the AHP,Summary,is used as a potential multicriteria decision making
42、method for application in agriculture. In order to show the implementation of explained MCDA methods in real situation in agriculture, the application of AHP on a sample model farm is presented in the second part of the article.,Introduction,The methodology of hierarchical decision models (DM) has b
43、een developed and extensively applied in relation to decision support. There, the decision-makers are often faced with the problem of choice: to choose an option from a set of available options so as to satisfy best the decision-makers goals. In complex real-life decision processes, the problem of c
44、hoice can be extremely difficult, mainly because of complex, interrelated or even conflicting objectives.,Introduction,To support the decision-maker, a decision model is designed to evaluate the options. Also, it can be used for the analysis, simulation, and explanation of decisions. In practice, th
45、is approach has been most often used for technical or economical decision problems, such as project or investment evaluation, portfolio management , strategic planning, knowledge management and personnel management However, DM are widely discussed in many studies.,Introduction,A multi-criteria evalu
46、ation approach enables decision makers investigating a number of different alternatives (projects) involving multiple criteria and conflicting priorities . Despite the development of a large number of defined multi-criterion decision aid (MCDA) methods, none can be considered as the super method app
47、ropriate to all decision making situations. However, the Analytic Hierarchy Process (AHP) and its variants have long been used in numerous scientific MCDA,Introduction,applications. The AHP is best illustrated by Saaty. The AHP is a decision support tool which can be used in solving complex decision
48、 problem. It uses a multi-level hierarchical structure of objectives, criteria , subcriteria and alternatives. Interest for multi-criterial assessment in agriculture has been growing rapidly.,Introduction,The paper is organized as follows. The first part describes the methodology, development and im
49、plementation of multicriteria decision model based on analytic hierarchy process for solving the farm planning problem on a sample model farm. The conclusions and proposals for further study in the second part conclude this paper.,Conclusion,Interest of MCDA in agricultural sector has been growing r
50、apidly. There is no doubt that MCDA(AHP) has come to play an important role in planning and organization of farm business strategy and is a key issue for them. The presented combined methodological framework (AHP) for decision support on organic farms could provide additional information support, bring additional clarity to the decision, and could therefore play an important role in further development of,
