ASSESSING PINEAPPLE MATURITY IN COMPLEX SCENARIOS USING AN IMPROVED RETINANET ALGORITHM-Reference-Cited by-同舟云学术

ASSESSING PINEAPPLE MATURITY IN COMPLEX SCENARIOS USING AN IMPROVED RETINANET ALGORITHM

Published:2023 Issue:2 Volume:43 Page:
ISSN:1809-4430
Container-title:Engenharia Agrícola
language:
Short-container-title:Eng. Agríc.

Author:

Chen Yan¹,Zheng Lulu¹^ORCID,Peng Hongxing¹

Affiliation:

1. South China Agricultural University, China

Publisher

FapUNIFESP (SciELO)

Subject

Agricultural and Biological Sciences (miscellaneous)

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0100-69162023000200202&tlng=en

Reference31 articles.

1. Yolov4: Optimal speed and accuracy of object detection;Bochkovskiy A;arXiv,2020

2. Research on fruit recognition algorithm based on multi-color and local texture;Chen X;Journal of Qingdao University (Engineering Technology Edition),2019

3. LabelImg, repositório Github;Darren l,2019

4. Centernet: Keypoint triplets for object detection;Duan KW;IEEE/CVF international conference on computer vision (CVPR),2019

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