Rice Tungro Disease in Sarawak: Past and Present Status
Johnson Chong, Siew Fung Yee, Lily Eng
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Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L. [PDF]
Razalli II +6 more
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Phylogenomics, population structure, and symbiont diversity refine the systematics of Southeast Asian rice leafhoppers (Hemiptera: Cicadellidae). [PDF]
Detcharoen M, Saksongmuang V, Nilsai A.
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VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection. [PDF]
Kazi SS, Palkar B, Mishra D.
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LightWaveNet: a lightweight wavelet-enhanced high-low-frequency-aware network with multi-stage supervision for rice disease recognition. [PDF]
Pi W +5 more
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KBNet: A Language and Vision Fusion Multi-Modal Framework for Rice Disease Segmentation. [PDF]
Yan X +6 more
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YOLO-DP: A detection model of fifteen common rice diseases and pests. [PDF]
Zhou T, Wei L.
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Multi-scale closed-loop tuning via spatial frequency collaborative sensitivity for rice leaf disease detection. [PDF]
Song Y, An K, Wang L, Zhou B.
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ADAM-DETR: an intelligent rice disease detection method based on adaptive multi-scale feature fusion. [PDF]
Song H +5 more
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An automated hybrid deep learning framework for paddy leaf disease identification and classification. [PDF]
Subbarayudu C, Kubendiran M.
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