论文信息
Computers and Electronics in Agriculture
论文摘要
A knowledge-informed WGAN-GP framework for farm-scale soil organic matter mapping under sample scarcity。Computers and Electronics in Agriculture
论文原文与出版信息
Computers and Electronics in Agriculture核心看点
提出知识引导的WGAN-GP框架,用于样本稀缺条件下的农场尺度土壤有机质制图,方法有创新但属细分方法学研究,且距发布尚早。
该框架将领域知识嵌入WGAN-GP生成器,以缓解农场尺度土壤有机质制图的样本稀缺问题;其适用性取决于小样本条件下生成数据的可信度与迁移范围。
发布主体的原始资料;自述数据与结论仍以原文限定为准。
A knowledge-informed WGAN-GP framework for farm-scale soil organic matter mapping under sample scarcity。Computers and Electronics in Agriculture
论文原文与出版信息
Computers and Electronics in Agriculture