Creating Predictive Weed Emergence Models Using Repeat Photography and Image Analysis

Creating Predictive Weed Emergence Models Using Repeat Photography and Image Analysis

Weed emergence models have the potential to be important tools for automating weed control actions; however, producing the necessary data (e.g., seedling counts) is time consuming and tedious. If similar weed emergence models could be created by deriving emergence data from images rather than physic...

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Bibliographic Details
Main Authors: Theresa Reinhardt Piskackova, Chris Reberg-Horton, Robert J Richardson, Robert Austin, Katie M Jennings, Ramon G Leon
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Plants
Subjects:
emergence models
sigmoidal models
RGB
maximum likelihood analysis
supervised classification
Online Access:https://www.mdpi.com/2223-7747/9/5/635

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https://www.mdpi.com/2223-7747/9/5/635

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