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Technique based on artificial intelligence permits automation of crop seed analysis

Publicado em 19 março 2021
Developed by researchers at the University of São Paulo, the non-invasive methodology facilitates identification of immature or poor-quality seeds without destroying them or creating residues. In Brazil, researchers affiliated with the Center for Nuclear Energy in Agriculture (CENA) and the Luiz de Queiroz College of Agriculture (ESALQ), both part of the University of São Paulo (USP), have developed a methodology based on artificial intelligence to automate and streamline seed [...]