An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture

1 Jun 2020Michael A. BeckChen-Yi LiuChristopher P. BidinostiChristopher J. HenryCara M. GodeeManisha Ajmani

A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck in the development of machine learning (ML) applications in any domain. For agricultural applications, ML-based models designed to perform tasks such as autonomous plant classification will typically be coupled to just one or perhaps a few plant species... (read more)

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