Exploring associations between metabolites and gene transcripts of common bean (Phaseolus vulgaris L.) in response to rust (Uromyces appendiculatus) infection by Penny Makhumbila, Molemi Rauwane, Hangwani Muedi, Ntakadzeni E. Madala, Sandiswa Figlan

Subjects: “…Common bean rust…”
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Leveraging edge computing and deep learning for the real-time identification of bean plant pathologiesBean Plant Pathologies Dataset for Deep Learning Tasks by Andrew Katumba, Wayne Steven Okello, Sudi Murindanyi, Joyce Nakatumba-Nabende, Moses Bomera, Ben Wycliff Mugalu, Amos Acur

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Insights of Phaseolus vulgaris’ response to infection by Uromyces appendiculatus using an RNA-seq approach by Penny Makhumbila, Molemi Rauwane, Hangwani Muedi, Sandiswa Figlan

Subjects: “…common bean rust…”
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Enhancing detection of common bean diseases using Fast Gradient Sign Method–trained Vision Transformers by Upendo Mwaibale, Neema Mduma, Hudson Laizer, Bonny Mgawe

Subjects: “…bean rust…”
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