Classification of rice plant diseases using efficient DenseNet121. [PDF]
Ismail A, Hamdy W, Ibrahim AH, Awad WA.
europepmc +1 more source
Begomoviral pre-coat protein boosts potato virus X in mixed infection through interfering with antiviral RNAi response. [PDF]
Ghosh D +3 more
europepmc +1 more source
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
europepmc +1 more source
Phylogenomics, population structure, and symbiont diversity refine the systematics of Southeast Asian rice leafhoppers (Hemiptera: Cicadellidae). [PDF]
Detcharoen M, Saksongmuang V, Nilsai A.
europepmc +1 more source
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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Rice Tungro Disease in Sarawak: Past and Present Status
Johnson Chong, Siew Fung Yee, Lily Eng
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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
europepmc +1 more source
KBNet: A Language and Vision Fusion Multi-Modal Framework for Rice Disease Segmentation. [PDF]
Yan X +6 more
europepmc +1 more source
YOLO-DP: A detection model of fifteen common rice diseases and pests. [PDF]
Zhou T, Wei L.
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Use of categorical information and correspondence analysis in plant disease epidemiology [PDF]
Klein-Gebbinck, H.W. +3 more
core +1 more source

