Title :
Remote Sensing Monitoring System for Agriculture Condition
Author :
Zhao, Qun ; Liu, Yun
Author_Institution :
Landscape Dept., Beijing Univ. of Agric., Beijing, China
Abstract :
Using remote sensing technology, related data of agricultural production are collected. Agriculture condition monitoring system is built by C language. Agriculture condition monitoring system can estimate crop yields. By comparing the real-time agro-meteorological conditions and the historical average data, agro-meteorological analysis of crop growth can be done. Agriculture condition monitoring system can provide a basis for decision support for agriculture production via timely growth monitoring of agricultural information.
Keywords :
C language; agricultural engineering; condition monitoring; crops; meteorology; production engineering computing; real-time systems; remote sensing; C language; agricultural information monitoring; agricultural production data; agro-meteorological analysis; crop growth; crop yield estimation; decision support; real-time agrometeorological conditions; remote sensing agriculture condition monitoring system; remote sensing technology; Agriculture; Condition monitoring; Indexes; Monitoring; Production; Remote sensing; Spatial databases; Agriculture Condition; NDVI; Remote Sensing;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.219
