Expert selection of marketing databases
The selection of online sources to answer marketing queries was investigated by interviewing fifteen professional intermediary searchers. Results indicate an overall performance ranking for the hosts which were most used by these intermediaries. Selection of databases was influenced by cost, type and level of coverage, and the geographical focus of a database. The features and services offered by a host had little influence on database selection. Frequently-used databases were assessed for particular types of marketing information. The results were used to build a prototype expert system which recommends databases for marketing queries. The approach seems feasible, but more research into intermediaries’ expertise is needed.
Choosing a business database: the expert approach
Outlines the results of a pilot research project carried out at Loughborough University. Investigates experts' knowledge and behaviour and aims to determine how experts choose online business databases, and which ones they choose in particular situations.
A Study on Greenhouse Automatic Control System Based on Wireless Sensor Network
The system proposed in this paper collects temperature of leaves and humidity on leaves of crop. As well as greenhouse environmental information such as temperature, humidity, etc. Crop diseases, especially, have deep relationship not only with indoor environmental factors but also with humidity lasting time on leaves and temperature of leaves. Accordingly, monitoring crop itself is as important as monitoring indoor environments. Using these collected greenhouse environmental data, indoor environments can be more effectively controlled, and monitoring crop itself can contribute to improve productivity and to prevent crops from damages by blight and harmful insects. In addition, it will be possible for farmers to do control plant growth through closely studying relationship between indoor environmental information and monitored information on crop itself. Collected data can be stored to database either in server installed in greenhouse or to remote server. It is made possible to collect information and control effectively and automatically greenhouse in the site or from a remote place through web browser. System components are: temperature sensor, humidity sensor, leaf temperature sensor, leaf humidity sensor, Zigbee based wireless sensor node, relay nodes for automatic control, and data server to store greenhouse information. The system is implemented using low power wireless components, and easy to install.