[HTML][HTML] Modelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI)
Owing to the inherent characteristics of ground beef, adulteration presents a substantial risk
for suppliers and consumers alike. This study developed a robust and novel method for …
for suppliers and consumers alike. This study developed a robust and novel method for …
Binary classification of pumpkin (Cucurbita pepo L.) seeds based on quality features using machine learning algorithms
N Çetin, E Ropelewska, S Fidan, Ş Ülkücü… - … Food Research and …, 2024 - Springer
Mass, size, and shape attributes are important for the design of planters, breeding studies,
and quality assessment. In recent years, machinery design and system development studies …
and quality assessment. In recent years, machinery design and system development studies …
Classification of hyperspectral images based on fused 3D inception and 3D-2D hybrid convolution
J Shen, D Zhang, G Dong, D Sun, X Liang… - Signal, Image and Video …, 2024 - Springer
A new hyperspectral image classification algorithm based on deep learning is constructed to
solve the problems of redundant band information, neglect of local details, and insufficient …
solve the problems of redundant band information, neglect of local details, and insufficient …
CLASSIFICATION OF PUMPKIN SEEDS USING MACHINE LEARNING TECHNIQUES
MA Qasimi - International Journal of Computer Science & …, 2024 - ijcsc.ielas.org
Accurate and effective seed classification techniques are crucial for seed quality control and
crop production optimization, as the need for healthy, high-quality seeds in agriculture …
crop production optimization, as the need for healthy, high-quality seeds in agriculture …