Hybrid convolutional network based on hyperspectral imaging for wheat seed varieties classification

Identification the variety of maize seeds based on hyperspectral image coupled with convolutional neural network and subregions voting

(2021) Quan Zhou et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Towards practical 2D grapevine bud detection with fully convolutional networks

(2021) Wenceslao Villegas Marset et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Rapid and non-destructive seed viability prediction using near-infrared hyperspectral imaging coupled with a deep learning approach

(2020) Te Ma et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Non-destructive discrimination of the variety of sweet maize seeds based on hyperspectral image coupled with wavelength selection algorithm

(2020) Quan Zhou et al.   INFRARED PHYSICS & TECHNOLOGY

Identification of sunflower seeds with deep convolutional neural networks

(2020) Ferhat Kurtulmuş   Journal of Food Measurement and Characterization

Corn seed variety classification based on hyperspectral reflectance imaging and deep convolutional neural network

(2020) Jun Zhang et al.   Journal of Food Measurement and Characterization

1D convolutional neural networks and applications: A survey

(2020) Serkan Kiranyaz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Potential biochemical, genetic and molecular markers of deterioration advancement in seeds of oilseed rape (Brassica napus L.)

(2019) Justyna Boniecka et al.   INDUSTRIAL CROPS AND PRODUCTS

Maize seed classification using hyperspectral image coupled with multi-linear discriminant analysis

(2019) Chao Xia et al.   INFRARED PHYSICS & TECHNOLOGY

Application of hyperspectral imaging and chemometrics for variety classification of maize seeds

(2018) Yiying Zhao et al.   RSC Advances

Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

(2018) Zhengjun Qiu et al.   Applied Sciences-Basel

Spectral shape classification: A deep learning approach

(2017) Majid Masoumi et al.   JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION

Regulatory-associated protein of TOR (RAPTOR) alters the hormonal and metabolic composition of Arabidopsis seeds, controlling seed morphology, viability and germination potential

(2017) Mohamed A. Salem et al.   PLANT JOURNAL

Classification of individual cotton seeds with respect to variety using near-infrared hyperspectral imaging

(2016) Sófacles Figueredo Carreiro Soares et al.   Analytical Methods

Classification of maize seeds of different years based on hyperspectral imaging and model updating

(2016) Min Huang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

(2016) Wenzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

High speed measurement of corn seed viability using hyperspectral imaging

(2016) Ashabahebwa Ambrose et al.   INFRARED PHYSICS & TECHNOLOGY

Maize Seed Variety Classification Using the Integration of Spectral and Image Features Combined with Feature Transformation Based on Hyperspectral Imaging

(2016) Min Huang et al.   Applied Sciences-Basel

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing