Subjects: VISÃO COMPUTACIONAL, ALGODÃO, AGRICULTURA DE PRECISÃO, INTELIGÊNCIA ARTIFICIAL, VISÃO COMPUTACIONAL, SISTEMAS EMBUTIDOS
ABNT
SILVA, Thiago Henrique Segreto. High-performance leaf segmentation and detection in soybean and cotton crop rotation systems: optimizing models, hyperparameters, and deployment on edge AI. 2025. Dissertação (Mestrado) – Universidade de São Paulo, São Carlos, 2025. Disponível em: https://www.teses.usp.br/teses/disponiveis/18/18162/tde-02062025-094756/. Acesso em: 19 jul. 2025.APA
Silva, T. H. S. (2025). High-performance leaf segmentation and detection in soybean and cotton crop rotation systems: optimizing models, hyperparameters, and deployment on edge AI (Dissertação (Mestrado). Universidade de São Paulo, São Carlos. Recuperado de https://www.teses.usp.br/teses/disponiveis/18/18162/tde-02062025-094756/NLM
Silva THS. High-performance leaf segmentation and detection in soybean and cotton crop rotation systems: optimizing models, hyperparameters, and deployment on edge AI [Internet]. 2025 ;[citado 2025 jul. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18162/tde-02062025-094756/Vancouver
Silva THS. High-performance leaf segmentation and detection in soybean and cotton crop rotation systems: optimizing models, hyperparameters, and deployment on edge AI [Internet]. 2025 ;[citado 2025 jul. 19 ] Available from: https://www.teses.usp.br/teses/disponiveis/18/18162/tde-02062025-094756/