换一批Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks?
摘要IntroductionPlant phenotyping describes the result of the interaction of genotype with the environment[1].This is performed with high throughput in greenhouses by automated screening sys-tems using different types of imaging and non-imaging sen-sors[2].The high-throughput imaging routines result in large amounts of data,which require sophisticated processing rou-tines.Sharing and reusing phenotype-related data are not com-mon,because its acquisition and processing are resource costly and technically intensive[3].
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