@inproceedings{5d67430016754d5385a96d98312b3d9a,
title = "Building robust geospatial web services for agricultural information extraction and sharing",
abstract = "Geospatial web service of agricultural information has a wide variety of consumers. An operational agricultural service will receive considerable requests and process a huge amount of datasets each day. To ensure the service quality, many strategies have to be taken during developing and deploying agricultural information services. This paper presents a set of methods to build robust geospatial web service for agricultural information extraction and sharing. The service is designed to serve the public and handle heavy-load requests for a long-lasting term with least maintenance. We have developed a web service to validate our approach. The service is used to serve more than 10 TB data product of agricultural drought. The performance is tested. The result shows that the service has an excellent response time and the use of system resources is stable. We have plugged the service into an operational system for global drought monitoring. The statistics and feedbacks show our approach is feasible and efficient in operational web systems.",
keywords = "agriculture, cyberinfrastructure, geospatial web service, information sharing, Web GIS",
author = "Ziheng Sun and Liping Di and Chen Zhang and Hui Fang and Eugene Yu and Li Lin and Junmei Tang and Xicheng Tan and Ziao Liu and Lili Jiang and Liying Guo and Zhongxin Chen and Peng Yue",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 6th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2017 ; Conference date: 07-08-2017 Through 10-08-2017",
year = "2017",
month = sep,
day = "19",
doi = "10.1109/Agro-Geoinformatics.2017.8047055",
language = "English",
series = "2017 6th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2017 6th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2017",
}