[Objective] This study was conducted to investigate the effects of water and fertilizer coupling on growth and sound seedling index of green cabbage seedlings. [Method] A seedling-raising orthogonal test was carried o...[Objective] This study was conducted to investigate the effects of water and fertilizer coupling on growth and sound seedling index of green cabbage seedlings. [Method] A seedling-raising orthogonal test was carried out on green cabbage under different irrigation upper limits and different substrate nutrient levels. [Result] Proper irrigation could promote leaf expansion, while excessive irrigation wa- ter inhibited leaf expansion; fertilization inhibited leaf expansion; and water and fertil- izing coupling showed a superimposed effect on leaf expansion. Proper irrigation promoted stem and root growth; fertilization inhibited stem and root growth; and there was a very strong water and fertilizer interaction effect. Under more irrigation water and proper fertilizing amount, root growth was promoted, stem elongation was inhibited, material accumulation of plants was increased, and sound seedling index was improved. [Conclusion] Water and fertilizer coupling effect could be used for regulating growth and development of various organs of green cabbage and improv- ing seedling-raising efficiency and quality.展开更多
Peach aphid is a common pest and hard to detect.This study employs hyperspectral imaging technology to identify early damage in green cabbage caused by peach aphid.Through principal component transformation and multip...Peach aphid is a common pest and hard to detect.This study employs hyperspectral imaging technology to identify early damage in green cabbage caused by peach aphid.Through principal component transformation and multiple linear regression analysis,the correlation relation between spectral characteristics and infestation stage is analyzed.Then,four characteristic wavelength selection methods are compared and optimal characteristic wavelengths subset is determined to be input for modelling.One linear algorithm and two nonlinear modelling algorithms are compared.Finally,support vector machine(SVM)model based on the characteristic wavelengths selected by multi-cluster feature selection(MCFS)acquires the highest identification accuracy,which is 98.97%.These results indicate that hyperspectral imaging technology have the ability to identify early peach aphid infestation stages on green cabbages.展开更多
基金Supported by Guangzhou Science and Technology Planning Project(201604020008)Nansha District Public Service Research Project(2013G015)~~
文摘[Objective] This study was conducted to investigate the effects of water and fertilizer coupling on growth and sound seedling index of green cabbage seedlings. [Method] A seedling-raising orthogonal test was carried out on green cabbage under different irrigation upper limits and different substrate nutrient levels. [Result] Proper irrigation could promote leaf expansion, while excessive irrigation wa- ter inhibited leaf expansion; fertilization inhibited leaf expansion; and water and fertil- izing coupling showed a superimposed effect on leaf expansion. Proper irrigation promoted stem and root growth; fertilization inhibited stem and root growth; and there was a very strong water and fertilizer interaction effect. Under more irrigation water and proper fertilizing amount, root growth was promoted, stem elongation was inhibited, material accumulation of plants was increased, and sound seedling index was improved. [Conclusion] Water and fertilizer coupling effect could be used for regulating growth and development of various organs of green cabbage and improv- ing seedling-raising efficiency and quality.
基金supported by China National Key Research and Development Program(No.2016YFD0700304)Shandong Natural Science Foundation Youth Program(No.ZR2021QC216)Agricultural Scientific and Technological Innovation Project of Shandong Academy of Agricultural Science(No.CXGC2023A34)。
文摘Peach aphid is a common pest and hard to detect.This study employs hyperspectral imaging technology to identify early damage in green cabbage caused by peach aphid.Through principal component transformation and multiple linear regression analysis,the correlation relation between spectral characteristics and infestation stage is analyzed.Then,four characteristic wavelength selection methods are compared and optimal characteristic wavelengths subset is determined to be input for modelling.One linear algorithm and two nonlinear modelling algorithms are compared.Finally,support vector machine(SVM)model based on the characteristic wavelengths selected by multi-cluster feature selection(MCFS)acquires the highest identification accuracy,which is 98.97%.These results indicate that hyperspectral imaging technology have the ability to identify early peach aphid infestation stages on green cabbages.
