摘要
为了使大豆种植者能够较准确地预测大豆各生育阶段的具体日期,使用BP神经网络构建了简单而有效的预测模型。以播种日期作为模型的主要预测因子,排除病虫害以及突发自然灾害等干扰因素影响,对大豆营养期和生殖生长期分别建模。以垦农18号大豆作为研究对象,以黑龙江九三垦区作为试验基地,历时5年,对大豆的生长阶段数据进行统计。对数据进行归一化处理后,用BP神经网络进行训练和预测,预测的结果表明模型的平均预测精度较高,具有较好的推广应用价值。
In order to predict the exact date of soybean growth and development stages for soybean planters,this paper constructed an easy and effective prediction model.Using planting date as main predict factor,it eliminated the effect of plant diseases and insect pests and natural disaster,constructed models for vegetative growth stage and reproductive growth stage of soybean respectively.By used Ken Nong 18 as research subject and Jiu San reclamation area as experimental base,it collected soybean growth data that lasted 5 yesrs.After normalizing data,using BP NN training and testing the data.The result showed the model had good average prediction accuracy and indicated that the BP NN method could be effectively applied in crop modeling.
出处
《现代农业科技》
2011年第13期23-24,26,共3页
Modern Agricultural Science and Technology
基金
引进国际先进农业科学技术计划(948计划)(2008-Z24)
关键词
大豆
生长期
BP神经网络
播种日期
soybean
growth stage
BP neural networks
planting date
