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Sheng Qiang

Publications and source records attributed to Sheng Qiang.

3 recordsLinked to original sources

[Control effects of rice-duck farming and other weed management strategies on weed communities in paddy fields].

By the methods of community ecology, field studies were conducted to evaluate the control effects of three weed management strategies, i. e., rice-duck farming (RD), manual weeding (MW) and chemical weeding (CW), on the weed communities in paddy fields. The results showed that under rice-duck farming, the weed density in paddy fields decreased significantly, and the control effects on dominant weed species such as Monochoria vaginalis, Cyperus difformis, Sagittaria pygmaea were all above 95%, with an overall effect higher than CW and MW. Under RD, the species richness and Shannon-Wiener diversity indices decreased slightly, while Pielou community evenness indices increased markedly, indicating that the species composition of weed community was greatly improved, and the infestation of former dominant weed species was reduced. The structure of weed communities in paddy fields varied with different weed management strategies, e. g., under RD, Lindernia procumbens, Cyperus difformis and Fimbristylis miliacea constituted the major weed community, and the Whittaker index was significant higher than that of CW, MW and CK, which indicated that rice-duck farming had a greater effect on the structure of the weed communities. The same conclusion could be drawn from Sorensen's similarity indices and cluster analysis with Sorensen's index as the distance measurement.

Animals↗

Robust and adaptive backstepping control for nonlinear systems using RBF neural networks.

In this paper, two different backstepping neural network (NN) control approaches are presented for a class of affine nonlinear systems in the strict-feedback form with unknown nonlinearities. By a special design scheme, the controller singularity problem is avoided perfectly in both approaches. Furthermore, the closed loop signals are guaranteed to be semiglobally uniformly ultimately bounded and the outputs of the system are proved to converge to a small neighborhood of the desired trajectory. The control performances of the closed-loop systems can be shaped as desired by suitably choosing the design parameters. Simulation results obtained demonstrate the effectiveness of the approaches proposed. The differences observed between the inputs of the two controllers are analyzed briefly.

Neural Networks, Computer↗

[Factors influencing pathogenicity of Collectotrichum gloeosporioides f.sp. veronicae to Veronica persica].

The effects of the characters of the fungus, the growing period of plants and environmental factors on the pathogenicity of Colletotrichum gloeosporioides f.sp. veronicae infecting Veronica persica were studied in pot experiments. The results showed that 1.08 x 10(8) spores.ml-1 suspension could kill the seedlings with two cotyledons within one week and cause old plants serious disease. 1 x 10(8) spores.ml-1 was optimal concentration and 1 or 2 weeks old was the best age of the spores for killing birdseye speedwell. The optimal temperature was 15-25 degrees C for the disease development. More than two days' dew exposure was required to kill the weed. However, the disease was also developed better when corn or soybean flour was added or the darkness period during dew exposure was prolonged.

Colletotrichum↗