Zhang S.,National Research Center for Intelligent Equipment for Agriculture |
Shen C.,National Engineering Research Center for Information Technology in Agricultural |
Zheng W.,National Research Center for Intelligent Equipment for Agriculture |
Xing Z.,National Engineering Research Center for Information Technology in Agricultural
Sensor Letters | Year: 2014
Water-saving irrigation has an important significance for China to achieve sustainable development of agriculture. The calculation of crop evapotranspiration is an important part in the implementation of water-saving irrigation. A calculation and prediction method of relative crop evapotranspiration was proposed based on Penman-Monteith equation in this paper. The Penman-Monteith equation in hourly scale was used in the calculating of relative crop evapotranspiration, which could obtain the over a period of time accurately. ET0 predicting method was presented using weather forecast data based on Penman-Monteith equation in daily scale. Comparative experiments were carried out to verify the accuracy of the method described in the text. In order to verify the accuracy of the calculation of ET, an A-Class evaporation pan was used as a reference. The results of the comparative experiments showed that the calculated results using the equation had high consistency to the measuring results obtained by A-Class evaporation pan. The verification experiment results of forecast data showed that the prediction accuracy of the next one day was high. Copyright © 2014 American Scientific Publishers.
Gu J.-Q.,Beijing Jiaotong University |
Gu J.-Q.,Beijing Academy of Agriculture and Forestry Sciences |
Gu J.-Q.,National Engineering Research Center for Information Technology in Agricultural |
Wang Z.-H.,Beijing Jiaotong University
Information Technology Journal | Year: 2013
Currently, China's agricultural decision support information systems and expert systems are isolated each other. Repetitive construction of agricultural information resources and systems is a serious problem. Proposed cloud services model of agricultural knowledge based on cloud computing platform.Then based on Knowledge Model base, using Web Service and XML technology, designed and realized generic expert knowledge cloud Web Services. Application results showed that it is a convenient tool for building personalized knowledge application systems of zero Configuration client. The work is an effective attempt to achieve the "knowledge as a service". © 2013 Asian Network for Scientific Information.