Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

80 results for “Pests”

Set a search alert
InvestigationOpen accessIn the keywordsForest Pathology Pattern of Forest Stands of the Green Belt of AstanaZhanarbek Bolat, Nurzhan Serikkanuly Mukhamadiyev, Nursagim Zhamaubayevich Ashikbaev et al.The article presents the results of researches on an estimation of a forest pathology pattern of the Astana green belt stands. For the first time, a complex of insect pests and entomophages is being specified in the Astana green belt stands. The biological effectiveness of biopreparations and insecticides against harmful insects in the system of protective measures and the forest … …OnLine Journal of Biological Sciences, Vol. 18, Issue 2 · 18 Jan 2018 · 7,520 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSeasonal Population Dynamics of the Asian Citrus Psyllid, Diaphorina citri Kuwayama in SarawakStephen Leong Chan Teck, Abang Fatimah, Andrew Beattie et al.Problem statement: Effective control of phytophagous pests requires a thorough understanding of their seasonal population dynamics, dispersion behavior, natural enemy activity and climate. To date, although very little detail information had been published on the ecology of Diaphorina citri. The objective of this investigation was to test through field experiment the hypothesis that the major factors influencing local D. citri … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 27 Dec 2011 · 9,551 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplication of Data Enhancement Method Based on Generative Adversarial Networks for Soybean Leaf Disease IdentificationXiao Yu, Cong Chen, Qi Gong, Lina LuSoybean leaf disease data collection is an expensive and time-consuming task. Convolutional neural network training requires a large amount of data, but traditional data enhancement methods (such as rotation, flipping, translation) are restricted by fixed rules and cannot generate images with diversity and variability. Aiming at the problem of the lack of soybean leaf disease data set, this study proposes … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 4 · 26 Nov 2022 · 5,207 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBiological Peculiarities of Archips rosana, the Insect Pest of the Sievers Apple Tree (Malus sieversii) in the Trans-Ili Alatau Ridge (the North Tien Shan)Gulzhanat Tanabekova, Roman Jashenko, Zhaozhi LuThe article provides new information on the phenology of a serious insect pest, the species of Archips rosana (Linnaeus, 1758) (Lepidoptera: Tortricidae), rendering fundamental harm to the Sievers apple trees, native to the Trans-Ili Alatau region (the North Tian Shan), which was not previously covered by studies. Material for research was obtained by the authors during two field seasons 2018-2019 … …OnLine Journal of Biological Sciences, Vol. 20, Issue 4 · 23 Nov 2020 · 6,551 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBiological Control of Spodoptera frugiperda Eggs Using Telenomus remus Nixon in Maize-Bean-Squash PolycultureAntonio GutiA©rrez-MartAnez, Alfredo Tolon-Becerra, Xavier B. Lastra-BravoThe maize earworm, Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae), is an important pest in maize. Telenomus remus Nixon (Hymenoptera: Scelionidae) is an important control agent of this pest due to its capacity to invade the whole egg mass. The percentage of parasitism by Telenomus remus Nixon (Hymenoptera: Scelionidae) on Spodoptera frugiperda (J.E. Smith) (Lepidoptera: Noctuidae) eggs was evaluated in maize-bean, … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 3 · 17 Jul 2012 · 10,883 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Accurate Mango Pest Identification Employing the Gaussian Mixture Model and Expectation-Maximization (EM) AlgorithmD. Lita Pansy, M. MuraliMangoes are fruits that originated in South and Southeast Asia. Mango fruits are consumed in high volume worldwide. However, fruit, stem, root, and mango leaves are damaged by pests, and it has a significant negative impact on mango production. Many works were developed for the pest detection of mango; but, none of the works concentrated on the practical applicability and … …Journal of Computer Science, Vol. 21, Issue 1 · 3 Dec 2024 · 5,063 accessesView PDFCite