Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms

Wheat Lodging Detection from UAS Imagery Using Machine Learning Algorithms

The current mainstream approach of using manual measurements and visual inspections for crop lodging detection is inefficient, time-consuming, and subjective. An innovative method for wheat lodging detection that can overcome or alleviate these shortcomings would be welcomed. This study proposed a s...

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Bibliographic Details
Main Authors: Zhao Zhang, Paulo Flores, C. Igathinathane, Dayakar L. Naik, Ravi Kiran, Joel K. Ransom
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Remote Sensing
Subjects:
precision agriculture
field crops
machine learning
deep learning
image processing
textural features
Online Access:https://www.mdpi.com/2072-4292/12/11/1838

Internet

https://www.mdpi.com/2072-4292/12/11/1838

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