"
Use of Unmanned Aerial System (UAS) Phenotyping to Predict Pod and Seed Yield in Organic Peanuts"
written by Aurora Manley, Waltram Ravelombola, John Cason, Brian Bennett, Hanh Pham, Emi Kimura, Caroline Ruhl, Waqas Ahmad, Madeline Brown,
published by
American Journal of Plant Sciences,
Vol.14 No.3, 2023
has been cited by the following article(s):
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[1]
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Advancements in UAV remote sensing for agricultural yield estimation: A systematic comprehensive review of platforms, sensors, and data analytics
Remote Sensing Applications: Society and Environment,
2025
DOI:10.1016/j.rsase.2024.101418
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[2]
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Plot-scale peanut yield estimation using a phenotyping robot and transformer-based image analysis
Smart Agricultural Technology,
2025
DOI:10.1016/j.atech.2025.101154
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[3]
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Yield prediction in a peanut breeding program using remote sensing data and machine learning algorithms
Frontiers in Plant Science,
2024
DOI:10.3389/fpls.2024.1339864
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