Prediction of oil content in single maize kernel based on hyperspectral imaging and attention convolution neural network
An attention (A) based convolutional neural network regression (CNNR) model, namely
ACNNR, was proposed to combine hyperspectral imaging to predict oil content in single …
ACNNR, was proposed to combine hyperspectral imaging to predict oil content in single …
A model for genuineness detection in genetically and phenotypically similar maize variety seeds based on hyperspectral imaging and machine learning
K Tu, S Wen, Y Cheng, Y Xu, T Pan, H Hou, R Gu… - Plant Methods, 2022 - Springer
Background Variety genuineness and purity are essential indices of maize seed quality that
affect yield. However, detection methods for variety genuineness are time-consuming …
affect yield. However, detection methods for variety genuineness are time-consuming …
Quality monitoring of glutinous rice processing from drying to extended storage using hyperspectral imaging
The quality of glutinous rice (GR) is susceptible to deterioration and losses due to biological
or environmental factors during storage. Traditional quality assessment techniques are often …
or environmental factors during storage. Traditional quality assessment techniques are often …
Identification and Classification of Coix seed Storage Years Based on Hyperspectral Imaging Technology Combined with Deep Learning
R Bai, J Zhou, S Wang, Y Zhang, T Nan, B Yang… - Foods, 2024 - mdpi.com
Developing a fast and non-destructive methodology to identify the storage years of Coix
seed is important in safeguarding consumer well-being. This study employed the utilization …
seed is important in safeguarding consumer well-being. This study employed the utilization …
Combining near-infrared hyperspectral imaging and ANN for varietal classification of wheat seeds
High-quality seeds have a positive effect on plant growth and crop yield. Varietal purity is
one of the critical quality parameters to evaluate the quality of the seeds. Presently, the …
one of the critical quality parameters to evaluate the quality of the seeds. Presently, the …
Hyperspectral imaging combined with GA‐SVM for maize variety identification
F Zhang, M Wang, F Zhang, Y Xiong… - Food Science & …, 2024 - Wiley Online Library
The demand for identification of maize varieties has increased dramatically due to the
phenomenon of mixed seeds and inferior varieties pretending to be high‐quality varieties …
phenomenon of mixed seeds and inferior varieties pretending to be high‐quality varieties …
Integrating NIR Hyperspectral Techniques with Neural Network for Barley Seeds Classification
A Kumar, S Mahajan - … on Smart Systems for applications in …, 2024 - ieeexplore.ieee.org
Nondestructive identification of seed varieties from different origins is crucial in optimizing
crop improvement, plant growth, and advancement in breeding methods. Evaluating varietal …
crop improvement, plant growth, and advancement in breeding methods. Evaluating varietal …
ОПТИЧЕСКИЕ МЕТОДЫ ИССЛЕДОВАНИЯ ПОТОКОВ
ГВ Нестеров, АА Золотухина, АВ Гурылева… - Москва, 2023 - elibrary.ru
Сорта зерновых культур могут значительно различаться по питательной ценности,
посевным качествам и срокам хранения. Присутствие сортовых примесей в семенном …
посевным качествам и срокам хранения. Присутствие сортовых примесей в семенном …