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An Approach Using Emerging Optical Technologies and Artificial Intelligence Brings New Markers to Evaluate Peanut Seed Quality.
Front Plant Sci. 2022 Apr 14;13:849986. doi: 10.3389/fpls.2022.849986. eCollection 2022.
Front Plant Sci. 2022.
PMID: 35498679
Free PMC article.
A Reliable Method to Recognize Soybean Seed Maturation Stages Based on Autofluorescence-Spectral Imaging Combined With Machine Learning Algorithms.
Batista TB, Mastrangelo CB, de Medeiros AD, Petronilio ACP, Fonseca de Oliveira GR, Dos Santos IL, Crusciol CAC, Amaral da Silva EA.
Batista TB, et al. Among authors: petronilio acp.
Front Plant Sci. 2022 Jun 14;13:914287. doi: 10.3389/fpls.2022.914287. eCollection 2022.
Front Plant Sci. 2022.
PMID: 35774807
Free PMC article.
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