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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2010  >  39(6): 891-895

YIN Jian-kang, CHEN Chang-hua, XING Xiao-jun, TAN Jun, YAO Jin. Research on Prediction of Tobacco Field Soil Moisture Based on BP Neural Network[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(6): 891-895. doi: 10.3969/j.issn.1001-0548.2010.06.018
Citation: YIN Jian-kang, CHEN Chang-hua, XING Xiao-jun, TAN Jun, YAO Jin. Research on Prediction of Tobacco Field Soil Moisture Based on BP Neural Network[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(6): 891-895. doi: 10.3969/j.issn.1001-0548.2010.06.018
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Research on Prediction of Tobacco Field Soil Moisture Based on BP Neural Network

doi: 10.3969/j.issn.1001-0548.2010.06.018
  • 1.

    School of Manufacturing Science and Engineering,Sichuan University Chengdu 610065;

  • 2.

    Tobacco Companies of Liangshan Xichang Sichuan 615000

  • Received Date: 2009-10-27
  • Rev Recd Date: 2010-08-16
  • Publish Date: 2010-12-15
  • A method to simplify the model for forecasting the soil moisture of tobacco field by aiming at the same growing stage and area is proposed and a model to forecast the soil moisture of tobacco field based on BP neural network is established, in which the temperature, sunlight, rainfall, evaporation, and initial moisture of soil at a stage beginning are taken as the input and the soil moisture of tobacco field as the output. The research result shows that the prediction model of soil moisture has a good accuracy and has a wide range of adaptability.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Research on Prediction of Tobacco Field Soil Moisture Based on BP Neural Network

doi: 10.3969/j.issn.1001-0548.2010.06.018
  • 1. School of Manufacturing Science and Engineering,Sichuan University Chengdu 610065;
  • 2. Tobacco Companies of Liangshan Xichang Sichuan 615000
  • Received Date: 2009-10-27
  • Rev Recd Date: 2010-08-16
  • Publish Date: 2010-12-15

Abstract: A method to simplify the model for forecasting the soil moisture of tobacco field by aiming at the same growing stage and area is proposed and a model to forecast the soil moisture of tobacco field based on BP neural network is established, in which the temperature, sunlight, rainfall, evaporation, and initial moisture of soil at a stage beginning are taken as the input and the soil moisture of tobacco field as the output. The research result shows that the prediction model of soil moisture has a good accuracy and has a wide range of adaptability.

YIN Jian-kang, CHEN Chang-hua, XING Xiao-jun, TAN Jun, YAO Jin. Research on Prediction of Tobacco Field Soil Moisture Based on BP Neural Network[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(6): 891-895. doi: 10.3969/j.issn.1001-0548.2010.06.018
Citation: YIN Jian-kang, CHEN Chang-hua, XING Xiao-jun, TAN Jun, YAO Jin. Research on Prediction of Tobacco Field Soil Moisture Based on BP Neural Network[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(6): 891-895. doi: 10.3969/j.issn.1001-0548.2010.06.018
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