Hydroponic design influences morphophysiology and mineral uptake in kale (Brassica oleracea var. acephala). [PDF]
Sci RepBiçici E, Boyacı HF.
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Classification of rice plant diseases using efficient DenseNet121. [PDF]
Sci RepIsmail A, Hamdy W, Ibrahim AH, Awad WA.
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A wheat canopy albedo high-throughput phenotyping method and its relationship with canopy architecture and leaf properties. [PDF]
Front Plant SciRuz-Ruiz MF +3 more
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An explainable vision transformer model with transfer learning for accurate bean leaf disease classification. [PDF]
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ERECTA genes and their ligands regulate shoot and inflorescence architecture in maize. [PDF]
Nat CommunLiu X +14 more
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MangoLeafNet-XAI: an attention-enhanced deep learning architecture for accurate and interpretable mango leaf disease classification. [PDF]
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TB-DLossNet: Fine-Grained Segmentation of Tea Leaf Diseases Based on Semantic-Visual Fusion. [PDF]
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Focal-HAIN: a lightweight model with adaptive modulation and hierarchical interaction for real-time crop pest and disease monitoring. [PDF]
Front Plant SciLiu W, Xu L, Chang X, Long X.
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A novel lightweight hybrid CNN-ViT for maize leaf disease classification. [PDF]
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Aphid-ResNetSwin: An Image Recognition Method with Improved Attention Mechanism for Graded Identification of <i>Myzus persicae</i>. [PDF]
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