Development of a Detection System for Types of Weeds in Maize (<i>Zea mays</i> L.) under Greenhouse Conditions Using the YOLOv5 v7.0 Model

Development of a Detection System for Types of Weeds in Maize (<i>Zea mays</i> L.) under Greenhouse Conditions Using the YOLOv5 v7.0 Model

Corn (<i>Zea mays</i> L.) is one of the most important cereals worldwide. To maintain crop productivity, it is important to eliminate weeds that compete for nutrients and other resources. The eradication of these causes environmental problems through the use of agrochemicals. The impleme...

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Bibliographic Details
Main Authors: Oscar Leonardo García-Navarrete, Oscar Santamaria, Pablo Martín-Ramos, Miguel Ángel Valenzuela-Mahecha, Luis Manuel Navas-Gracia
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Agriculture
Subjects:
deep-learning
precision agriculture
convolutional neural network (CNN)
computer vision
precision weeding
Online Access:https://www.mdpi.com/2077-0472/14/2/286

Internet

https://www.mdpi.com/2077-0472/14/2/286

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