Automatic wheat ear counting using machine learning based on RGB UAV imagery

Keyphrases

• Unmanned Aerial Vehicle (UAV) Imagery 100%
• Blue-green 100%
• Ear Counting 100%
• Wheat Ear Counting 100%
• Machine Learning Based 100%
• In Situ 50%
• Grain Yield 50%
• Nitrogen Treatment 50%
• Classification Methods 25%
• Winter Wheat Varieties 25%
• Order of Accuracy 25%
• Automatic System 25%
• Cereals 25%
• Triticum Aestivum 25%
• Wheat Triticum Aestivum 25%
• Low Nitrogen 25%
• Microplot 25%
• Manual Count 25%
• UAV 25%
• Machine Learning Techniques 25%
• System Use 25%
• Wheat Phenotyping 25%
• Feature Extraction 25%
• Frequency Features 25%
• Automatic Evaluation 25%
• Frequency Segmentation 25%
• Counting System 25%
• Crop Season 25%
• Wheat Ear 25%
• Frequency Filtering 25%
• Image-based 25%
• Filter Extraction 25%

Agricultural and Biological Sciences

• Grains 100%
• Unmanned Aerial Vehicle 100%
• Cultivar 50%
• Common Wheat 50%
• Triticum aestivum 50%

Food Science

• Cereal 100%
• Common Wheat 100%