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| 1 | 冬小麦生物量和产量的AquaCrop模型预测显示文摘以华北地区冬小麦为研究对象,将AquaCrop作物生长模型应用到滴灌、喷灌、漫灌中,对模型主要参数如气象、土壤、作物特性等进行调整,并对作物产量和生物量模拟的有效方法进行了研究。模拟结果表明,产量和收获时地上部分生物量的模拟值与实测值较为接近且略高于实测值,模型性能指数均高于0.95。产量模拟效果优于生物量,滴灌模拟效果最好。 | 杜文勇 何雄奎 Shamaila Z 胡振方 曾爱军 Muller J | 2011 | 农业机械学报2011，42，4： | 37 |
| 2 | BP神经网络在使用红外热像仪技术预测冬小麦产量中的应用(英文)显示文摘通过使用红外热像仪技术获得冬小麦冠层不同温度值,计算得到冬小麦主要需水阶段水分胁迫指标ICWSI(infrared crop water stress index)。并根据此数据,使用一次灌溉周期中3个时段不同的ICWSI的平均值作为输入因子,相应实测冬小麦产量作为输出因子,建立了BP神经网络模型对冬小麦的产量进行预测,本文采用三层BP神经网络,其拓扑结构为3-5-1,数据归一化处理后收敛性能增强。预测结果显示,平均相对误差最大只有3.42%;为了证实这一方法的优越性,同时建立了基于ICWSI和冬小麦产量关系的非线性函数的预测模型,预测结果与实际产量值进行比较,平均相对误差最大达到了18.87%。两种预测方法得到的不同预测结果表明,将红外热像仪技术与BP神经网络预测方法相结合,可以成功用来预测冬小麦产量,比使用非线性函数预测的效果更好,精度更高,可靠性更强,可以用于实际生产需要。 | 胡振方 张录达 王珏璇 Shamaila Z 曾爱君 宋坚利 刘亚佳 Wolfram S Joachim M 何雄奎 | 2013 | 光谱学与光谱分析2013，33，6： | 5 |
| 3 | Utilization of Thermal Infrared Image for Inversion of Winter Wheat Yield and Biomass显示文摘The present paper utilizes thermal infrared image for inversion of winter wheat yield and biomass with different technology of irrigation(drip irrigation,sprinkler irrigation,flood irrigation).It is the first time that thermal infrared image is used for predicting the winter wheat yield and biomass.The temperature of crop and background was measured by thermal infrared image.It is necessary to get the crop background separation index(CBSIL,CBSIH),which can be used for distinguishing the crop value from the image.CBSIL and CBSIH(the temperature when the leaves are wet adequately;the temperature when the stomata of leaf is closed completely) are the threshold values.The temperature of crop ranged from CBSIL to CBSIH.Then the ICWSI was calculated based on relevant theoretical method.The value of stomata leaf has strong negative correlation with ICWSI proving the reliable value of ICWSI.In order to construct the high accuracy simulation model,the samples were divided into two parts.One was used for constructing the simulation model,the other for checking the accuracy of the model.Such result of the model was concluded as:(1) As for the simulation model of soil moisture,the correlation coefficient(R2) is larger than 0.887 6,the average of relative error(Er) ranges from 13.33% to 16.88%;(2) As for the simulation model of winter wheat yield,drip irrigation(0.887 6,16.89%,-0.12),sprinkler irrigation(0.970 0,14.85%,-0.12),flood irrigation(0.969 0,18.87%,0.18),with the values of R2,Er and CRM listed in the parentheses followed by the individual term.(3) As for winter wheat biomass,drip irrigation(0.980 0,13.70%,0.13),sprinkler irrigation(0.95,13.15%,-0.14),flood irrigation(0.970 0,14.48%,-0.13),and the values in the parentheses are demonstrated the same as above.Both the CRM and Er are shown to be very low values,which points to the accuracy and reliability of the model investigated.The accuracy of model is high and reliable.The results indicated that thermal infrared image can be used potentially for inversion of winter wheat yield and biomass. | DU Wen-yong ZHANG Lu-da HU Zhen-fang Shamaila Z ZENG Ai-jun SONG Jian-li LIU Ya-jia Wolfram S Joachim M HE Xiong-kui | 2011 | 光谱学与光谱分析2011，31，6： | 3 |
| 4 | Comparative studies of operational parameters of degradation of azo dyes in visible light by highly efficient WOx/TiO2 photocatalyst 显示文摘 | Sajjad A Shamaila S Tian B Z | 2010 | Journal of Hazardous Materials2010，177，13： | 1 |
| 5 | Use of thermography for high throughput phenotyping of tropical maize adaptation in water stress显示文摘 | Giuseppe R Shamaila Z Wolfram S | 2011 | Computers and Electronics in Agriculture2011，79，1： | 1 |
| 6 | Comparative studies of operational parameters of degradation of azo dyes in visible light by highly efficient WOx/TiO2 photo- catalyst 显示文摘 | Sajjad A K L Shamaila S Tian B Z | 2010 | Journal of Hazardous Materials2010，177，1： | 1 |
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