DocumentCode :
3148693
Title :
Research on the agriculture intelligent system based on IOT
Author :
Fu Bing
Author_Institution :
Coll. of Arts & Sci., Yangtze Univ., Jingzhou, China
fYear :
2012
fDate :
9-11 Nov. 2012
Firstpage :
1
Lastpage :
4
Abstract :
According to the need for transition from traditional agriculture to modern agriculture in China and the Spirits of 2012 Central No. 1 Document of the People´s Republic of China, the agriculture intelligent system based on IOT is introduced for organic melon and fruit production. A number of new technologies were used in the system, such as RFID, sensors and so on. This system contains three platforms. The expert system service platform set up a mathematical model to capture the data of the growing melons, and then make a decision. The intelligent production management platform could control the plant environment, the supply of water and fertilizer. The Internet trading platform with traceability function is an extended service for fruit growers and consumers. It is significative that the Agriculture Intelligent System was developed to control the crop growth environment, and to optimize fruit planting management, etc. If the system is adopted in a large region, it will provide benefits to fruit growers.
Keywords :
Internet of Things; agriculture; crops; expert systems; radiofrequency identification; sensors; IOT; Internet trading platform; RFID; agriculture intelligent system; crop growth environment; expert system service platform; fruit consumers; fruit growers; fruit planting management; melon growing; peoples republic of China; plant environment; production management platform; sensors; traceability function; Agriculture; Expert systems; Internet; Production; Radiofrequency identification; Temperature sensors; IOT; agriculture intelligent system; fruit; growth model; melon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Signal Processing (IASP), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-2547-9
Type :
conf
DOI :
10.1109/IASP.2012.6425066
Filename :
6425066
Link To Document :
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