Research on Machine Learning Models for Maize Hardness Prediction Based on Indentation Test

Research on Machine Learning Models for Maize Hardness Prediction Based on Indentation Test

Hardness is a critical mechanical property of grains. Accurate predictions of grain hardness play a crucial role in improving grain milling efficiency, reducing grain breakage during transportation, and selecting high-quality crops. In this study, we developed machine learning models (MLMs) to predi...

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Chi tiết về thư mục
Những tác giả chính: Haipeng Lin, Xuefeng Song, Fei Dai, Fengwei Zhang, Qiang Xie, Huhu Chen
Định dạng: Bài viết
Ngôn ngữ:English
Được phát hành: MDPI AG 2024-01-01
Loạt:Agriculture
Những chủ đề:
mechanical properties of maize
numerical simulation
hardness prediction
indentation load curve method
Truy cập trực tuyến:https://www.mdpi.com/2077-0472/14/2/224

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https://www.mdpi.com/2077-0472/14/2/224

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