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AAUConvNeXt:Enhancing Crop Lodging Segmentation with Optimized Deep Learning Architectures

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摘要 Rice lodging,a phenomenon precipitated by environmental factors or crop characteristics,presents a substantial challenge in agricultural production,notably impacting yield prediction and disaster assessment.Despite that the application of conventional methodologies like visual assessment,mathematical models,and satellite remote sensing technologies has been employed in the segmentation of crop lodging,these approaches are still constrained in precision,immediacy,and capacity for large-scale evaluation.
机构地区 College of Engineering
出处 《Plant Phenomics》 SCIE EI CSCD 2024年第2期498-516,共19页 植物表型组学(英文)
基金 supported by the National Key R&D Program of China(2023YFD2301602-1) the Basic Research Support Program for Excellent Young Teachers in Provincial Undergraduate Universities in Heilongjiang Province the Heilongjiang Provincial key research and development program(2022ZX05B05) the Heilongjiang Provincial Postdoctoral Science Foundation(LBH-Z22090).
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