
Performance analysis of the application of convolutional neural networks architectures in the agricultural diagnosis
Author(s) -
Sara Belattar,
Otman Abdoun,
El Khatir Haimoudi
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v27.i1.pp156-162
Subject(s) - convolutional neural network , productivity , computer science , agriculture , artificial intelligence , architecture , plant disease , agricultural engineering , machine learning , quality (philosophy) , medical diagnosis , pattern recognition (psychology) , microbiology and biotechnology , medicine , engineering , pathology , biology , geography , economic growth , ecology , archaeology , economics , philosophy , epistemology