ASSESSING PINEAPPLE MATURITY IN COMPLEX SCENARIOS USING AN IMPROVED RETINANET ALGORITHM

ASSESSING PINEAPPLE MATURITY IN COMPLEX SCENARIOS USING AN IMPROVED RETINANET ALGORITHM

ABSTRACT In China, low levels of accuracy in predicting when pineapple crops will reach maturity can result from environmental variation such as light changes, fruit overlap, and shading. Therefore, this study proposed the use of an improved RetinaNet algorithm (ECA-Retinanet) based on the ECA atten...

Full description

Bibliographic Details
Main Authors: Yan Chen, Lulu Zheng, Hongxing Peng
Format: Article
Language:English
Published: Sociedade Brasileira de Engenharia Agrícola 2023-04-01
Series:Engenharia Agrícola
Subjects:
artificial intelligence
deep learning
object detection network
ECA attention mechanism
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162023000200202&tlng=en

Similar Items

Similar Items