A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics

A case study on canola (Brassica napus L.) potential yield prediction using remote sensing imagery and advanced data analytics

Canola (Brassica napus L.) yield prediction using a combined application of small unmanned aerial system (sUAS) and vegetation indices (VIs) have gained significant attention. In recent years, major studies have demonstrated the potential of developing new VIs for predicting canola yield. However, s...

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Bibliographic Details
Main Authors: Nitin Rai, Harsh Pathak, Maria Villamil Mahecha, Dennis R. Buckmaster, Yanbo Huang, Paul Overby, Xin Sun
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Smart Agricultural Technology
Subjects:
Canola
Data analytics
Hyperparameter tuning
Machine learning
Neural-network
Remote sensing
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524003022
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