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Training instance segmentation neural network with synthetic datasets for crop seed phenotyping

Agriculture

Training instance segmentation neural network with synthetic datasets for crop seed phenotyping

Y. Toda, F. Okura, et al.

This groundbreaking research by Yosuke Toda, Fumio Okura, Jun Ito, Satoshi Okada, Toshinori Kinoshita, Hiroyuki Tsuji, and Daisuke Saisho reveals a novel method for training neural networks in plant phenotyping using synthetic datasets. Achieving impressive performance metrics, this approach significantly lowers the manual labor needed for data annotation in agricultural analysis, paving the way for more efficient crop studies.... show more
Citation Metrics
Citations
133
Influential Citations
7
Reference Count
62
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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