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Management decision-making support system of percision agriculture based on CNCS

Authors :
Zhang Chao
Chen Zhenghua
Ma Qingyuan
Yang Zhen
Source :
IGARSS
Publication Year :
2007
Publisher :
IEEE, 2007.

Abstract

Precision agriculture needs a mass of data, therefore data availability is a vital obstacle factor for precision agriculture technology widely use. The methods of acquisition data for precision agriculture change from field survey to sensor acquisition gradually. Remote Sensing plays an important role in the large-scale, real-time, multi-spectral data acquisition. But there are still some problems when Remote Sensing data are applied in the actual farm production and management, which result in that precision agriculture's advantages are limited, so finding the solution of data acquisition for precision agriculture based on remote sensing becomes very necessary. In this paper, the NPP, NDVI, LAI etc are retrieved from remote sensing data, the field investigation data are also obtained. We set up a decision-making system based on CNCS (central neural control system), which is composed of several module such as data updating, data editing, decision-making supporting. The system is made for the farmers to decide cultivation strategies on when, where and how much irrigation, fertilizer and pesticide should be applied on each plot.

Details

Database :
OpenAIRE
Journal :
2007 IEEE International Geoscience and Remote Sensing Symposium
Accession number :
edsair.doi...........42a4c1c60284767471ba36e33aa234ec
Full Text :
https://doi.org/10.1109/igarss.2007.4422922