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 China 2012.12.07,第四届农业信息化国际研讨会,Prof.Zou Ping Dr. & Professor Shandong University Research Interest: Computer Science and Technology E-mail： zouping2009.happy163.com,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 Futrure.Coal Technology.Vol.31，No.03 March,2012：188-189,Prof.Tong Cai Dr. & Professor Kansas State University Research Interest: Agricultural Remote Sensing E-mail： magicmj163.com,Selected Publications: Tong Cai,2006.Arid land salinization detected by remotely-sensed landcover changes: acase study in the Siwa region, Journal 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. Remote 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 photography 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 applications 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 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.,Remote 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 energy 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, absorbed 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 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 analyzed (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 signal. 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 into 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 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 management on firm performance. International Journal of Operations & Production Management. Vol. 30 No. 5, 2010 pp. 526-545.,Prof.Ma Hongjian Dr.& Prof