Information Acquisition for Farmland Soil Carbon Sink Impact Factors Based on ZigBee Wireless Network - Computer and Computing Technologies in Agriculture IX - Part II Access content directly
Conference Papers Year : 2016

Information Acquisition for Farmland Soil Carbon Sink Impact Factors Based on ZigBee Wireless Network

Bingbing Wang
  • Function : Author
  • PersonId : 1020409
Dekun Zhai
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  • PersonId : 1020410
Lijuan Sun
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  • PersonId : 1020411
Dandan Yang
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  • PersonId : 1020412
Zhihong Liu
  • Function : Author
  • PersonId : 1020413
Qiulan Wu
  • Function : Author
  • PersonId : 1012906

Abstract

As the main part of terrestrial ecosystem, farmland ecological system’s estimation of carbon sink not only can help to understand the soil organic carbon content in farmland and increase the crop yield, but also can have great significance to the research on farmland ecosystem’s influence to global climate warming. Through analyzing soil organic carbon estimation model of carbon sink factors, this article provides a method using multi sensors technology to acquire impact factors of soil carbon sink estimation and upload the results to the host computers by ZigBee+GPRS technology to realize the estimation of regional soil organic carbon in farmland. This research sets its research area in wheat experimental field in Yanzhou, Shandong Province, and by laying sensor nodes in the experimental field to acquire impact factors, the research aims to build reliable transmission of acquired factors by the ZigBee wireless sensor network, combined with GPRS technology. The result shows that this method can realize the reliable transmission of impact factors of the soil carbon sink in farmland and is of great significance to improve the accuracy of the estimation of soil carbon sink.
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hal-01614185 , version 1 (10-10-2017)

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Bingbing Wang, Dekun Zhai, Lijuan Sun, Dandan Yang, Zhihong Liu, et al.. Information Acquisition for Farmland Soil Carbon Sink Impact Factors Based on ZigBee Wireless Network. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.185-193, ⟨10.1007/978-3-319-48354-2_20⟩. ⟨hal-01614185⟩
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