Heading percentage estimation in proso millet ( Panicum miliaceum L.) using aerial imagery and deep learning
Author:
Affiliation:
1. Dep. of Biological Systems Engineering Univ. of Nebraska‐Lincoln Lincoln NE 68583 USA
2. Dep. of Agronomy and Horticulture Univ. of Nebraska‐Lincoln Scottsbluff NE 69361 USA
3. Dep. of Statistics Univ. of Nebraska‐Lincoln Lincoln NE 68583 USA
Funder
Agricultural Research Division, Institute of Agriculture and Natural Resources
National Agricultural Statistics Service
Publisher
Wiley
Subject
Plant Science,Agronomy and Crop Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ppj2.20049
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