A Novel Approach to Pod Count Estimation Using a Depth Camera in Support of Soybean Breeding Applications

Improving soybean (<i>Glycine max</i> L. (Merr.)) yield is crucial for strengthening national food security. Predicting soybean yield is essential to maximize the potential of crop varieties. Non-destructive methods are needed to estimate yield before crop maturity. Various approaches, including the...

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主要な著者:	Jithin Mathew, Nadia Delavarpour, Carrie Miranda, John Stenger, Zhao Zhang, Justice Aduteye, Paulo Flores
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-07-01
シリーズ:	Sensors
主題:	background segmentation computer vision deep learning depth camera high throughput phenotyping machine vision
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/14/6506
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