Detection of Italian Ryegrass in Wheat and Prediction of Competitive Interactions Using Remote-Sensing and Machine-Learning Techniques

Detection of Italian Ryegrass in Wheat and Prediction of Competitive Interactions Using Remote-Sensing and Machine-Learning Techniques

Italian ryegrass (<i>Lolium perenne</i> ssp. <i>multiflorum</i> (Lam) Husnot) is a troublesome weed species in wheat (<i>Triticum aestivum</i>) production in the United States, severely affecting grain yields. Spatial mapping of ryegrass infestation in wheat field...

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Bibliographic Details
Main Authors: Bishwa Sapkota, Vijay Singh, Clark Neely, Nithya Rajan, Muthukumar Bagavathiannan
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Remote Sensing
Subjects:
computer vision
deep neural networks
precision agriculture
site-specific management
unmanned aerial systems
UAVs
Online Access:https://www.mdpi.com/2072-4292/12/18/2977

Internet

https://www.mdpi.com/2072-4292/12/18/2977

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