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Machine learning extracts marks of thiamine's role in cold acclimation in the transcriptome of .
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An effective approach for plant leaf diseases classification based on a novel DeepPlantNet deep learning model.
Front Plant Sci. 2023 Oct 11;14:1212747. doi: 10.3389/fpls.2023.1212747. eCollection 2023.
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Integrating omics databases for enhanced crop breeding.
J Integr Bioinform. 2023 Jul 25;20(4). doi: 10.1515/jib-2023-0012. eCollection 2023 Dec 1.
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Phenomics based prediction of plant biomass and leaf area in wheat using machine learning approaches.
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The impact of boron nutrient supply in mulberry (Morus alba) response to metabolomics, enzyme activities, and physiological parameters.
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Comparative transcriptome and genome analysis unravels the response of Tatary buckwheat root to nitrogen deficiency.
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Genetic and phenotypical diversity of Pseudomonas syringae population in the Russian Federation.
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Effects of exogenous calcium on the drought response of the tea plant ( (L.) Kuntze).
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