|
|
|
|
|
Siyao Yu, Haoran Bu, Xue Hu, Wancheng Dong and Lixin Zhang
In order to explore the feasibility of rapid non-destructive detection of cotton leaf chlorophyll content during the growth stage, this study utilized hyperspectral technology combined with a feature variable selection method to conduct quantitative dete...
ver más
|
|
|
|
|
|
|
|
|
Fang Wang, Xueliang Fu, Weijun Duan, Buyu Wang and Honghui Li
As the unique identifier of individual breeding pigs, the loss of ear tags can result in the loss of breeding pigs? identity information, leading to data gaps and confusion in production and genetic breeding records, which can have catastrophic consequen...
ver más
|
|
|
|
|
|
|
|
|
Kun Wu, Min Zhang, Gang Wang, Xu Chen and Jun Wu
In order to improve the accuracy and efficiency of the methods that are used for the detection of impurities in and the breakage rate of harvested corn grains, we propose a classification and identification method using a feature threshold and a backprop...
ver más
|
|
|
|
|
|
|
|
|
Andrea Giovanni Caruso, Sofia Bertacca, Arianna Ragona, Slavica Matic, Salvatore Davino and Stefano Panno
Grapevine virus A (GVA) is a phloem-restricted virus (genus Vitivirus, family Betaflexiviridae) that cause crop losses of 5?22% in grapevine cultivars, transmitted by different species of pseudococcid mealybugs, the mealybug Heliococcus bohemicus, and by...
ver más
|
|
|
|
|
|
|
|
|
Andrea Giovanni Caruso, Sofia Bertacca, Arianna Ragona, Slavica Matic, Salvatore Davino and Stefano Panno
Background: the most widely distributed and virulent Grapevine leafroll-associated viruses (GLRaV) that affect grapevine are GLRaV-1 and GLRaV-3, transmitted semi-persistently by different mealybugs and soft scales, mainly causing downward rolling of the...
ver más
|
|
|
|