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Analysis on Weak Electric Signals of Plants by the Autoregressive Model

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3 Author(s)
Lanzhou Wang ; Coll. of Metro logical Technol. & Eng., China Jiliang Univ., Hangzhou ; Miao Wang ; Jiayin Zhao

Models of the autoregressive model of weak electric signals in two plants were set up for the first time: Crassula portulacea wais x (n) = 1.95516 x (n-1) - 0.91114 x (n-2) -0.41287 x (n-4) + 0.65251 x (n-5) - 0.12294 x (n-6) - 0.28019 x (n-7) - 0.19178 x (n-8) + 0.54703 x (n-9) - 0.12636 x (n-10) - 0.15383 x (n-11) + 0.21684 x (n-14) - 0.3721 x (n-15) + 0.37012 x (n-17) - 0.2541 x (n-19) + 0.15452 x (n-21) - 0.10477 x (n-23) + 0.03347 x (n-25). And Aloe vera var. chinensis was x (n) = 1.9591 x (n-1) - 1.4927 x (n-2) + .07205 x (n-3) - 0.80219 x (n-4) + 0.44582 x (n-5) - 0.30807 x (n-6) + 0.19658 x (n-7) - 0.34506 x (n-8) + 0.52419 x (n-9) - 0.339 x (n-10) + 0.16681 x (n-11) - 0.09664 x (n-12) + 0.03625 x (n-17) - 0.02005 x (n-18). The results of the AR model to forecast 10 values of the weak electric signals are well, and can be used as the preferences for the intelligent autocontrol system based on the adaptive characteristic of plants to achieve the energy saving on agricultural productions.

Published in:

Natural Computation, 2008. ICNC '08. Fourth International Conference on  (Volume:1 )

Date of Conference:

18-20 Oct. 2008

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