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RPH-Counter: Field detection and counting of rice planthoppers using a fully convolutional network with object-level supervision
Z Zhang, W Zhan, K Sun, Y Zhang, Y Guo, Z He… - … and Electronics in …, 2024 - Elsevier
Rice planthoppers are among the most severe migratory pests affecting rice, characterized
by small size and rapid reproduction, leading to sudden and explosive outbreaks. Therefore …
by small size and rapid reproduction, leading to sudden and explosive outbreaks. Therefore …
Positive discrimination of minority classes through data generation and distribution: A case study in olive disease classification
Deep learning models have achieved remarkable success in various tasks, especially in
classification. This success is particularly evident in the precise classification of plant …
classification. This success is particularly evident in the precise classification of plant …
Diagnosis of Custard Apple Disease Based on Adaptive Information Entropy Data Augmentation and Multiscale Region Aggregation Interactive Visual Transformers
Accurate diagnosis of plant diseases is crucial for crop health. This study introduces the EDA–
ViT model, a Vision Transformer (ViT)-based approach that integrates adaptive entropy …
ViT model, a Vision Transformer (ViT)-based approach that integrates adaptive entropy …