Boosted Mask R-CNN algorithm for accurately detecting strawberry plant canopies in the fields from low-altitude drone images-Reference-Cited by-同舟云学术

Boosted Mask R-CNN algorithm for accurately detecting strawberry plant canopies in the fields from low-altitude drone images

Published:2022 Issue: Volume:42 Page:
ISSN:1678-457X
Container-title:Food Science and Technology
language:
Short-container-title:Food Sci. Technol

Author:

LIN Ping¹,ZHANG Huazhe²,ZHAO Feiyu³,WANG Xiaoxuan³,LIU Huan³,CHEN Yongming¹^ORCID

Affiliation:

1. Hubei Normal University, China; Yancheng Institute of Technology, China

2. Yancheng Institute of Technology, China

3. Hubei Normal University, China

Publisher

FapUNIFESP (SciELO)

Subject

Food Science,Biotechnology

Link

http://www.scielo.br/scielo.php?script=sci_pdf&pid=S0101-20612022000101392&tlng=en

Reference23 articles.

1. The review of food safety inspection system based on artificial intelligence, image processing, and robotic;Chen T.-C.;Food Science and Technology (Campinas),2022

2. Research on identification method of tangerine peel year based on deep learning;Chu Z.;Food Science and Technology (Campinas),2022

3. Fruit and vegetable recognition by fusing colour and texture features of the image using machine learning;Dubey S. R.;International Journal of Applied Pattern Recognition,2015

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