Weed Growth Stage Estimator Using Deep Convolutional Neural Networks

Weed Growth Stage Estimator Using Deep Convolutional Neural Networks

This study outlines a new method of automatically estimating weed species and growth stages (from cotyledon until eight leaves are visible) of in situ images covering 18 weed species or families. Images of weeds growing within a variety of crops were gathered across variable environmental conditions...

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Bibliographic Details
Main Authors: Nima Teimouri, Mads Dyrmann, Per Rydahl Nielsen, Solvejg Kopp Mathiassen, Gayle J. Somerville, Rasmus Nyholm Jørgensen
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Sensors
Subjects:
computer vision
growth stage
leaf counting
convolutional neural network
deep learning
Online Access:http://www.mdpi.com/1424-8220/18/5/1580

Internet

http://www.mdpi.com/1424-8220/18/5/1580

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