Crop Pest Identification and Real-Time Monitoring System Design Based on Improved YOLOv8s. [PDF]
Gao Q, Shi C, Ji Y, Wang M.
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Influence of rice variety and grain form on the development and infestation of Sitophilus oryzae (L.): A comparative analysis. [PDF]
Chekol GM.
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Bio-Inspired Multi-Granularity Model for Rice Pests and Diseases Named Entity Recognition in Chinese. [PDF]
Tang Z, Lu X, Liu E, Zhong Y, Peng X.
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Paddy pest image segmentation based on multiscale attention fusion VM-UNet. [PDF]
Zhang Y, Shao Y, Zhang T.
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Correction: Khan et al. Plant Secondary Metabolites-Central Regulators Against Abiotic and Biotic Stresses. <i>Metabolites</i> 2025, <i>15</i>, 276. [PDF]
Khan A +7 more
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Evaluating the Long-Term Efficacy of Four Active Ingredients Against <i>Rhyzopertha dominica</i> (F.) (Coleoptera: Bostrichidae) and <i>Sitophilus oryzae</i> (L.) (Coleoptera: Curculionidae) on Stored Sorghum in the United States. [PDF]
Liba T, Zhu KY, Scheff DS.
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Enhancing the efficiency of nuclease-based prime editing in rice with the Tf1 reverse transcriptase. [PDF]
Ma G +7 more
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Balancing rice blast resistance and growth through suppression of the E3 ubiquitin ligase OsRING80. [PDF]
Hou X +9 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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