The Predictive Power of Regression Models to Determine Grass Weed Infestations in Cereals Based on Drone Imagery—Statistical and Practical Aspects

The Predictive Power of Regression Models to Determine Grass Weed Infestations in Cereals Based on Drone Imagery—Statistical and Practical Aspects

Site-specific weed management (SSWM) may reduce herbicide use by identifying weed patches and weed-free areas. However, one major constraint is robust weed detection algorithms that are able to predict weed infestations outside of the training data. This study investigates the predictive power of re...

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Bibliographic Details
Main Authors: Signe M. Jensen, Muhammad Javaid Akhter, Saiful Azim, Jesper Rasmussen
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Agronomy
Subjects:
prediction models
validation
weed detection
weed monitoring
vegetation indices
precision agriculture
Online Access:https://www.mdpi.com/2073-4395/11/11/2277

Internet

https://www.mdpi.com/2073-4395/11/11/2277

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