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Sun A.-H.,China Three Gorges University | Zhu S.-J.,Northeast Agricultural University | Zhu S.-J.,Key Laboratory for Water Saving Agriculture of Universities in Heilongjiang Province | Guo Y.-F.,Northeast Forestry University | And 2 more authors.
Procedia Engineering | Year: 2012

The relationship of water-fertilizer and yield is the theory basis of improving water-fertilizer use efficiency and reducing fertilizer pollution. Based on analyzing a lot of experimental data, 3 fertilizer factors involving N, P, K were introduced in the growth stage model of rice water-fertilizer production function and dynamic production function model. The former is called Jensen model and the latter is called modified Morgan model. The two models have higher correlation coefficients, can correctly reflect interaction relationship between rice growth and water-fertilizer (N, P, K), accurately simulate continuous dynamic traits of rice growth and can forecast rice yield according to the amount of N, P, K applied. In addition, Modified Morgan model has a much higher correlation coefficient than Jensen model. © 2012 Published by Elsevier Ltd. Source


Fu Q.,Northeast Agricultural University | Fu Q.,Key Laboratory for Water Saving Agriculture of Universities in Heilongjiang Province | Wang K.,Northeast Agricultural University | Ren S.-D.,Northeast Agricultural University
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | Year: 2012

The research of complex system science has became an very essential part of the system science. However, due to it's multi-level, nonlinear, and coupled with a large number of random uncertainties in the evolution of simulation work to the system caused immense difficulties. On this background, the real coded multi-objective nested accelerating genetic algorithm (RMONAGA) has been proposed to evolve and simulate the complex system. Based on the similarity between the features of system and characteristics of this algorithm, the problem of interaction of different levels and the adaptive conflict between different sectors has been solved by using the nested and multi-objective method. The method is applied to do the research of regional agricultural soil and water resources complex adaptive system optimization of Sanjiang Plain. The result shows that this method is scientifically rational, in order to provide some help in the field of modeling and simulation when CAS theory have been applied. Source


Fu Q.,Northeast Agricultural University | Fu Q.,Key Laboratory for Water Saving Agriculture of Universities in Heilongjiang Province | Wang L.,Northeast Agricultural University | Wang L.,Key Laboratory for Water Saving Agriculture of Universities in Heilongjiang Province | And 4 more authors.
Advanced Science Letters | Year: 2013

According to the disadvantage of hard observation parameters, complex calculation formula, large calculation, and low simulation accuracy for traditional simulation methods of soil evaporation law, taking the standardized values of soil evaporation in Harbin from November 2008 to May 2009 and its six impact factors, including ground temperature, air temperature, relative humidity, wind direction, atmospheric pressure and vapor pressure, as input data of BP network and adopting particle swarm optimization algorithm (PSO for short) to optimize network structure, initial weights and thresholds, the PSO-BP network model of soil evaporation law simulation in northern cold region can be built. The results show that PSO-BP network model can accurately simulate frozen soil evaporation law and can avoid human interference of single BP network in training process. Therefore, it is an effective method to simulate complex soil evaporation process with PSO-BP network model, which can depict the variation law of soil evaporation. The results can provide a new thinking and a new way for modeling and simulating soil evaporation. © 2013 American Scientific Publishers All rights reserved. Source

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