深层灌水条件下基于BP人工神经网络方法的冬小麦根系分布预测模型
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摘要
对冬小麦实施深层灌水是一种高效的节水灌溉方式,为了简化深层灌水条件下冬小麦根系研究工作,建立了以土层深度、发育时间、土层根系日均吸水量、土层日均温度、地上部干重、株高为输入因子,土层根系密度为输出因子的BP人工神经网络预测模型。研究结果表明:在所建立的预测模型下,训练样本各土层根系密度预测值与实测值之间平均相对误差为5.92%,检验样本的平均相对误差为7.30%,训练样本和检验样本都具有较高的精度,因此以该模型对深层灌水条件下冬小麦根系分布情况进行预测是可行的,可为深层灌水条件下冬小麦的根系研究提供新方法。
Deep irrigation of winter wheat is an efficient water-saving irrigation method. In order to simplify the research of winter wheat root system under deep irrigation conditions,this article builds a BP artificial neural network prediction model,which uses soil depth,development time,daily water absorption of soil roots,daily average temperature of soil layer,dry weight of shoots and plant height as the input factors,and uses root density as the output factor. The experiment results show that under the established prediction model,the average relative error between the predicted and measured values of root densities of the training samples is 5.92%,and the average relative error of the test samples is 7.30%. Both the training samples and the test samples have higher precision. So,this model is feasible to predict the distribution of winter wheat roots under deep irrigation conditions. It can provide a new method for root research of winter wheat under deep irrigation conditions.
Deep irrigation of winter wheat is an efficient water-saving irrigation method. In order to simplify the research of winter wheat root system under deep irrigation conditions,this article builds a BP artificial neural network prediction model,which uses soil depth,development time,daily water absorption of soil roots,daily average temperature of soil layer,dry weight of shoots and plant height as the input factors,and uses root density as the output factor. The experiment results show that under the established prediction model,the average relative error between the predicted and measured values of root densities of the training samples is 5.92%,and the average relative error of the test samples is 7.30%. Both the training samples and the test samples have higher precision. So,this model is feasible to predict the distribution of winter wheat roots under deep irrigation conditions. It can provide a new method for root research of winter wheat under deep irrigation conditions.
引文
[1]孙爽,杨晓光,李克南,等.中国冬小麦需水量时空特征分析[J].农业工程学报,2013,29(15):72-82.
[2]黄洁,孙西欢,马娟娟,等.不同灌水深度对冬小麦生长及产量的影响[J].节水灌溉,2016(7):1-5.
[3]狄楠,马娟娟,孙西欢,等.灌水深度对冬小麦根系形态的影响研究[J].中国农村水利水电,2016(10):49-52,55.
[4]郭向红,孙西欢,马娟娟,等.冬小麦不同深度灌水条件下土壤水分运动数值模拟[J].农业机械学报,2018,49(8):237-244,209.
[5]王璞.不同深度灌水条件下冬小麦生长与根系吸水模型研究[D].太原:太原理工大学,2018.
[6]杨培岭,冯斌,任树梅.利用人工神经网络预报不同水分条件下作物根系发育参数[J].农业工程学报,2000(2):46-49.
[7]邵光成,张展羽,刘娜,等.膜下滴灌棉花根系发育参数的BP模型预测[J].水资源保护,2006(4):47-49.
[8]陈倩秋,马娟娟,孙西欢,等.蓄水坑灌条件下苹果树根系生长速率预测模型[J].节水灌溉,2018(6):24-27,34.
[9]苗果园,张云亭,尹钧,等.黄土高原旱地冬小麦根系生长规律的研究[J].作物学报,1989(2):104-115.
[10]罗长寿,左强,李保国.基于遗传算法的人工神经网络模型在冬小麦根系分布预报中的应用[J].应用生态学报,2004(2):354-356.
[11]LASCANO R J,VAN B C H M.Root water uptake and soil water distribution:test of an availability concept 1[J].Soil Science Society of America Journal,1984,48(2):233-237.
[12]龚元石.冬小麦和夏玉米农田土壤分层水分平衡模型[J].北京农业大学学报,1995(1):61-67.
[13]刘炜,杨君林,许安民,等.不同根区温度对冬小麦生长发育及养分吸收的影响[J].干旱地区农业研究,2010,28(4):197-201.
[14]WALKER J M.One degree increments in soil temperature affect maize seedling behavior 1[J].Soil Science Society of America Journal,1969,(33):729-736.
[15]陈爽.不同灌水深度对冬小麦生长及根区水热动态影响研究[D].太原:太原理工大学,2017.
[2]黄洁,孙西欢,马娟娟,等.不同灌水深度对冬小麦生长及产量的影响[J].节水灌溉,2016(7):1-5.
[3]狄楠,马娟娟,孙西欢,等.灌水深度对冬小麦根系形态的影响研究[J].中国农村水利水电,2016(10):49-52,55.
[4]郭向红,孙西欢,马娟娟,等.冬小麦不同深度灌水条件下土壤水分运动数值模拟[J].农业机械学报,2018,49(8):237-244,209.
[5]王璞.不同深度灌水条件下冬小麦生长与根系吸水模型研究[D].太原:太原理工大学,2018.
[6]杨培岭,冯斌,任树梅.利用人工神经网络预报不同水分条件下作物根系发育参数[J].农业工程学报,2000(2):46-49.
[7]邵光成,张展羽,刘娜,等.膜下滴灌棉花根系发育参数的BP模型预测[J].水资源保护,2006(4):47-49.
[8]陈倩秋,马娟娟,孙西欢,等.蓄水坑灌条件下苹果树根系生长速率预测模型[J].节水灌溉,2018(6):24-27,34.
[9]苗果园,张云亭,尹钧,等.黄土高原旱地冬小麦根系生长规律的研究[J].作物学报,1989(2):104-115.
[10]罗长寿,左强,李保国.基于遗传算法的人工神经网络模型在冬小麦根系分布预报中的应用[J].应用生态学报,2004(2):354-356.
[11]LASCANO R J,VAN B C H M.Root water uptake and soil water distribution:test of an availability concept 1[J].Soil Science Society of America Journal,1984,48(2):233-237.
[12]龚元石.冬小麦和夏玉米农田土壤分层水分平衡模型[J].北京农业大学学报,1995(1):61-67.
[13]刘炜,杨君林,许安民,等.不同根区温度对冬小麦生长发育及养分吸收的影响[J].干旱地区农业研究,2010,28(4):197-201.
[14]WALKER J M.One degree increments in soil temperature affect maize seedling behavior 1[J].Soil Science Society of America Journal,1969,(33):729-736.
[15]陈爽.不同灌水深度对冬小麦生长及根区水热动态影响研究[D].太原:太原理工大学,2017.