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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.

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