Wheat Head Detection using Deep, Semi-Supervised and Ensemble Learning
Author:
Affiliation:
1. SERCOM Laboratory, Ecole Polytechnique de Tunisie, University of Carthage, Tunis, Tunisia
2. L2TI, Institut Galilée, Université Sorbonne Paris Nord, Villetaneuse, France
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/07038992.2021.1906213
Reference29 articles.
1. Automatic Counting of Wheat Spikes from Wheat Growth Images
2. Bagging predictors
3. Albumentations: Fast and Flexible Image Augmentations
4. Global Wheat Head Detection (GWHD) Dataset: A Large and Diverse Dataset of High-Resolution RGB-Labelled Images to Develop and Benchmark Wheat Head Detection Methods
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