Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models

Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models

Wheat is a globally cultivated cereal crop with substantial protein content present in its seeds. This research aimed to develop robust methods for predicting seed protein concentration in wheat seeds using bench-top hyperspectral imaging in the visible, near-infrared (VNIR), and shortwave infrared...

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Bibliographic Details
Main Authors: Imran Said, Vasit Sagan, Kyle T. Peterson, Haireti Alifu, Abuduwanli Maiwulanjiang, Abby Stylianou, Omar Al Akkad, Supria Sarkar, Noor Al Shakarji
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
hyperspectral imaging
seed composition estimation
machine learning
3D CNN modeling
attentive models
Online Access:https://www.mdpi.com/1424-8220/25/2/303
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