To explore the effects of farming methods,straw returning and their interaction on corn yield and nitrogen utilization,the experiment was conducted for two consecutive years from 2016 to 2017 at the Xiangyang Experime...To explore the effects of farming methods,straw returning and their interaction on corn yield and nitrogen utilization,the experiment was conducted for two consecutive years from 2016 to 2017 at the Xiangyang Experimental Base of Northeast Agricultural University in Heilongjiang Province of China.The method of combining farming with straw returning was used and six treatments as rotary tillage(R)+no straw returning(K),rotary tillage(R)+straw returning(S),tillage(T)+no straw returning(K),tillage(T)+straw returning(S),tillage(T)+subsoiling(D)+no straw returning(K)and tillage(T)+subsoiling(D)+straw returning(S)were set to study the effects of different tillage methods and straw returning on corn yield and nitrogen accumulation and utilization.The corn yield,nitrogen accumulation,nitrogen transport,grain weight and dry matter accumulation of tillage(T)+subsoiling(D)and tillage(T)were significantly higher than those of rotary tillage(R)treatment.Meanwhile,the corn yield,nitrogen accumulation and dry matter accumulation of TD treatment were significantly higher than those of T treatment;the corn yield,dry matter accumulation,kernel weight,nitrogen dry matter production efficiency and nitrogen grain production efficiency of S treatment were significantly higher than those of K treatment.Among the treatments,the yield,nitrogen accumulation and utilization efficiency of TDS,TS and TDK were the highest.The yield,nitrogen accumulation and nitrogen transport of TDS were significantly higher than those of TS.In 2016,TDS production increased by 7.30%and 8.20%compared with TS;and TDS nitrogen accumulation increased by 6.78%and 9.50%compared with TS,while the yield and nitrogen grain production efficiency were significantly higher than those of TDK.Therefore,under the conditions of this experiment,on the basis of straw returning,tillage+subsoiling was the suitable farming method.展开更多
介绍了一种三组元联动机械补偿式小型化中波红外连续变焦光学系统。针对阵列规模640×512,像元尺寸15μm的中波制冷型红外探测器,设计了焦距20~275 mm, F数5.5的连续变焦光学系统,系统长度90.6 mm。具有变倍比大、结构紧凑、元件数...介绍了一种三组元联动机械补偿式小型化中波红外连续变焦光学系统。针对阵列规模640×512,像元尺寸15μm的中波制冷型红外探测器,设计了焦距20~275 mm, F数5.5的连续变焦光学系统,系统长度90.6 mm。具有变倍比大、结构紧凑、元件数量少的特点,适合应用于小型化的机载光电吊舱系统以及轻量手持红外望远系统中。展开更多
经济全球化赋予了logo巨大的商业价值,随着计算机视觉领域的发展,为logo分类与识别提供了更广阔的应用领域.本文针对logo图像的分类识别,为了提高模型对logo图像分类的能力,基于logo图像整体特征不显著且数量众多的特点,提出了用细粒度...经济全球化赋予了logo巨大的商业价值,随着计算机视觉领域的发展,为logo分类与识别提供了更广阔的应用领域.本文针对logo图像的分类识别,为了提高模型对logo图像分类的能力,基于logo图像整体特征不显著且数量众多的特点,提出了用细粒度图像分类的方法渐进式多粒度拼图训练(progressive multi-granularity training of jigsaw patches, PMG-Net)对logo图像数据集进行分类.通过拼图生成器生成包含不同粒度信息的输入图像,再引入渐进式多粒度训练模块融合不同粒度的特征,融合后的特征更注重图像之间的细微差别,使logo图像分类的效果有显著提高.在提取输入图像特征时采用LeakyReLU (leaky rectified linear unit)激活函数保留图像中的负值特征信息,并引入通道注意力机制,调整特征通道的权重,增强特征信息指导能力以改进模型的分类效果.实验结果表明,本文在logo图像数据集上的分类精确率优于传统的分类方法.本文通过融合多粒度特征的渐进训练策略以及随机拼图生成器的方法实现了对logo图像的高效分类,为解决logo图像分类中存在的问题提供了一种新的思路.展开更多
基金Supported by the Special Fund for Agro-scientific Research in Public Interest in China(201503119-06-01)。
文摘To explore the effects of farming methods,straw returning and their interaction on corn yield and nitrogen utilization,the experiment was conducted for two consecutive years from 2016 to 2017 at the Xiangyang Experimental Base of Northeast Agricultural University in Heilongjiang Province of China.The method of combining farming with straw returning was used and six treatments as rotary tillage(R)+no straw returning(K),rotary tillage(R)+straw returning(S),tillage(T)+no straw returning(K),tillage(T)+straw returning(S),tillage(T)+subsoiling(D)+no straw returning(K)and tillage(T)+subsoiling(D)+straw returning(S)were set to study the effects of different tillage methods and straw returning on corn yield and nitrogen accumulation and utilization.The corn yield,nitrogen accumulation,nitrogen transport,grain weight and dry matter accumulation of tillage(T)+subsoiling(D)and tillage(T)were significantly higher than those of rotary tillage(R)treatment.Meanwhile,the corn yield,nitrogen accumulation and dry matter accumulation of TD treatment were significantly higher than those of T treatment;the corn yield,dry matter accumulation,kernel weight,nitrogen dry matter production efficiency and nitrogen grain production efficiency of S treatment were significantly higher than those of K treatment.Among the treatments,the yield,nitrogen accumulation and utilization efficiency of TDS,TS and TDK were the highest.The yield,nitrogen accumulation and nitrogen transport of TDS were significantly higher than those of TS.In 2016,TDS production increased by 7.30%and 8.20%compared with TS;and TDS nitrogen accumulation increased by 6.78%and 9.50%compared with TS,while the yield and nitrogen grain production efficiency were significantly higher than those of TDK.Therefore,under the conditions of this experiment,on the basis of straw returning,tillage+subsoiling was the suitable farming method.
文摘介绍了一种三组元联动机械补偿式小型化中波红外连续变焦光学系统。针对阵列规模640×512,像元尺寸15μm的中波制冷型红外探测器,设计了焦距20~275 mm, F数5.5的连续变焦光学系统,系统长度90.6 mm。具有变倍比大、结构紧凑、元件数量少的特点,适合应用于小型化的机载光电吊舱系统以及轻量手持红外望远系统中。
文摘经济全球化赋予了logo巨大的商业价值,随着计算机视觉领域的发展,为logo分类与识别提供了更广阔的应用领域.本文针对logo图像的分类识别,为了提高模型对logo图像分类的能力,基于logo图像整体特征不显著且数量众多的特点,提出了用细粒度图像分类的方法渐进式多粒度拼图训练(progressive multi-granularity training of jigsaw patches, PMG-Net)对logo图像数据集进行分类.通过拼图生成器生成包含不同粒度信息的输入图像,再引入渐进式多粒度训练模块融合不同粒度的特征,融合后的特征更注重图像之间的细微差别,使logo图像分类的效果有显著提高.在提取输入图像特征时采用LeakyReLU (leaky rectified linear unit)激活函数保留图像中的负值特征信息,并引入通道注意力机制,调整特征通道的权重,增强特征信息指导能力以改进模型的分类效果.实验结果表明,本文在logo图像数据集上的分类精确率优于传统的分类方法.本文通过融合多粒度特征的渐进训练策略以及随机拼图生成器的方法实现了对logo图像的高效分类,为解决logo图像分类中存在的问题提供了一种新的思路.
