Multi-format open-source sweet orange leaf dataset for disease detection, classification, and analysis. [PDF]
Emon YR, Ahad MT, Rabbany G.
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teaLeafBD: A comprehensive image dataset to classify the diseased tea leaf to automate the leaf selection process in Bangladesh. [PDF]
Alam BMS +7 more
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Deep learning technique for plant disease classification and pest detection and model explainability elevating agricultural sustainability. [PDF]
Shafik W +4 more
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Potential decoupling of CO2 and Hg uptake process by global vegetation in the 21st century. [PDF]
Yuan T +15 more
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Quantification of the fungal pathogen Didymella segeticola in Camellia sinensis using a DNA-based qRT-PCR assay. [PDF]
Zhang Y +8 more
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Advances in the tea plants phenotyping using hyperspectral imaging technology. [PDF]
Luo B, Sun H, Zhang L, Chen F, Wu K.
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Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability. [PDF]
Murugesan S +5 more
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Identification of a novel mutation in the <i>CLCN7</i> gene in pediatric osteopetrosis: case report. [PDF]
Jiang A +6 more
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Mitigation of salt stress in Camelina sativa by epibrassinolide and salicylic acid treatments. [PDF]
Göre M.
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