摘要
畜禽舍粪便中含有丰富的植物营养元素及有机质,是良好的有机肥源。畜禽粪便发酵后产生大量C、N、P、K、S和微量元素等养分资源,产生的气体主要以氨气(N H3)为主。为揭示通气时间、通气频率及氨气通气量对玉米产量的影响,试验设置通气时间、通气频率、氨气浓度三因素处理,利用空气压缩机将氨气通入管道。建立基于BP人工神经网络的玉米产量的预测模型,用于不同通气时间、通气频率及氨气浓度下的玉米产量预测。
Livestock and poultry house excrement is rich in plant nutrient elements and organic matter, and it is a good organic fertilizer source. Fermentation of livestock and poultry manure produces large amounts of nutrients such as C, N,P, K, S and trace elements. The main gas produced is ammonia(NH3). In order to reveal the effect of ventilation time,aeration frequency and ammonia ventilation on com yield, the experiment set the three factors of ventilation time,ventilation frequency and ammonia concentration, and used an air compressor to introduce ammonia into the pipeline. A prediction model of com yield based on BP artificial neural network was established to predict corn yield under different ventilation time, aeration frequency and ammonia concentration.
作者
于珍珍
汪春
李海亮
孙海天
王宏轩
余兵兵
Yu Zhenzhen;Wang Chun;Li Hailiang;Sun Haitian;Wang Hongxuan;Yu Bingbing(Engineering College of Heilongjiang Bayi Agricultural University,Daqing 163000,Heilongjiang,China;Center for Recycling Agriculture,South Subtropical Crop Research Institute,China Academy of Tropical Agricultural Sciences,Zhanjiang 524000,Guangdong,China)
出处
《农业技术与装备》
2019年第2期7-10,13,共5页
Agricultural Technology & Equipment
基金
中国热带农业科学院基本科研业务费专项资金
(19CXTD-31)
中国热带农业科学院基本科研业务费专项(1630062018006)
关键词
玉米产量
氨气浓度
BP神经网络预测模型
corn yield
ammonia concentration
aerated irrigation
BP neural network prediction model
