Assessing the performance of YOLOv5 algorithm for detecting volunteer cotton plants in corn fields at three different growth stages-Reference-Cited by-同舟云学术

Assessing the performance of YOLOv5 algorithm for detecting volunteer cotton plants in corn fields at three different growth stages

Published:2022 Issue: Volume:6 Page:292-303
ISSN:2589-7217
Container-title:Artificial Intelligence in Agriculture
language:en
Short-container-title:Artificial Intelligence in Agriculture

Author:

Yadav Pappu Kumar,Thomasson J. Alex,Searcy Stephen W.,Hardin Robert G.,Braga-Neto Ulisses,Popescu Sorin C.,Martin Daniel E.,Rodriguez Roberto,Meza Karem,Enciso Juan,Diaz Jorge Solórzano,Wang Tianyi

Funder

USDA Animal and Plant Health Inspection Service

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Agricultural and Biological Sciences,Engineering (miscellaneous),Computer Science (miscellaneous)

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