Convolutional Neural Networks Using Enhanced Radiographs for Real-Time Detection of Sitophilus zeamais in Maize Grain

Autor: Alysson Alexander Naves Silva, Geovanny Barroso, Claudio Fabiano Motta Toledo, Valter Arthur, Thiago Mastrangelo, Pedro Takao Yamamoto, Clíssia Barboza da Silva

Publikováno v: Foods
Volume 10
Issue 4
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Foods, Vol 10, Iss 879, p 879 (2021)

The application of artificial intelligence (AI) such as deep learning in the quality control of grains has the potential to assist analysts in decision making and improving procedures. Advanced technologies based on X-ray imaging provide markedly eas

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72e0368dac01cf1223700e033c8917e5

Convolutional Neural Networks Using Enhanced Radiographs for Real-Time Detection of Sitophilus zeamais in Maize Grain.

Autor: Barboza da Silva C; Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba 13416-000, SP, Brazil., Silva AAN; Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos 13560-970, SP, Brazil., Barroso G; Department of Entomology and Acarology, College of Agriculture Luiz de Queiroz, University of São Paulo, Piracicaba 13418-900, SP, Brazil., Yamamoto PT; Department of Entomology and Acarology, College of Agriculture Luiz de Queiroz, University of São Paulo, Piracicaba 13418-900, SP, Brazil., Arthur V; Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba 13416-000, SP, Brazil., Toledo CFM; Institute of Mathematics and Computer Sciences, University of São Paulo, São Carlos 13560-970, SP, Brazil., Mastrangelo TA; Center for Nuclear Energy in Agriculture, University of São Paulo, Piracicaba 13416-000, SP, Brazil.

Publikováno v: Foods (Basel, Switzerland) [Foods] 2021 Apr 16; Vol. 10 (4). Date of Electronic Publication: 2021 Apr 16.