Field-Scale Precision: Predicting Grain Yield of Diverse Wheat Breeding Lines Using High-Throughput UAV Multispectral Imaging
Author:
Affiliation:
1. Faculty of Engineering and Applied Science, University of Regina, Regina, SK, Canada
2. Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
Funder
Ministry of Agriculture - Saskatchewan
Saskatchewan Wheat Development Commission
Manitoba Crop Alliance
Agriculture Development Fund
Natural Sciences and Engineering Research Council of Canada Discovery
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10552912.pdf?arnumber=10552912
Reference85 articles.
1. Elgar Encyclopedia of Post-Keynesian Economics
2. Nutritional Quality of Wheat
3. The importance of different land tenure systems for farmers’ response to climate change: A systematic review
4. Understanding the potential applications of Artificial Intelligence in Agriculture Sector
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