Results 81 to 90 of about 13,575,612 (179)

Industry 5.0‐Oriented Digital Technologies for Agro‐Food Processing and Supply Chains: A Review With Applications in Peru

Journal of Food Process Engineering, Volume 49, Issue 11, November 2026.
Industry 5.0 technologies support agro‐food engineering using intelligent automation and other digital tools. Integrating advanced digital technologies into agro‐food processing enables efficient, traceable, and sustainable production systems. ABSTRACT This review discusses the application of Industry 5.0‐oriented digital technologies in agro‐food ...
Grisel Osorio, Jhonny Pacheco, Heidy Valeria Palacin‐Baldeón, Pedro Shiguihara, Luis Olivera Montenegro, Giovani Leone Zabot   +5 more
wiley   +1 more source

UAV Hyperspectral Remote Sensing Image Classification: A Systematic Review

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, significant advances in unmanned aerial vehicle (UAV) technology and hyperspectral remote sensing have spurred rapid and innovative developments in UAV-based hyperspectral image (HSI) classification across a range of fields, including ...
Zhen Zhang, Lehao Huang, Qing-Wang Wang, Linhuan Jiang, Yemao Qi, Shunyuan Wang, Tao Shen, Bo-Hui Tang, Yan-Feng Gu   +8 more
semanticscholar   +1 more source

New Primary and Secondary Prevention Measures for Cutaneous Melanoma: A Systematic Review

Cancer Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background Cutaneous melanoma is the deadliest type of skin cancer, with increasing incidence and mortality rates. Therefore, primary and secondary prevention are of utmost importance. Claims The objective is to evaluate new recent evidence on primary and secondary prevention strategies for cutaneous melanoma.
Maria Palau–del–Valle, Elena Bendala–Tufanisco, María Amparo López–Ruiz   +2 more
wiley   +1 more source

Lightweight Hyperspectral Image Classification with Lifelong Learning

, 2023
With the increasing number of Hyperspectral Image (HSI) classification scenarios and frequent updates to classification categories, there is a growing demand for new models and updates to existing ones.
Jing Bai (16388306), Zhu Xiao (16388309), Zhongrui Wang (9205625), Anran Yuan (16388289), Licheng Jiao (12301451), Jianqing Li (16388312)   +5 more
core   +1 more source

Spatial-Spectral Morphological Mamba for Hyperspectral Image Classification [PDF]

Neurocomputing
Recent advancements in transformers, specifically self-attention mechanisms, have significantly improved hyperspectral image (HSI) classification.
Muhammad Ahmad, Muhammad Hassaan Farooq Butt, Muhammad Usama, A. Khan, Manuel Mazzara, Salvatore Distefano, H. A. Altuwaijri, Swalpa Kumar Roy, J. Chanussot, D. Hong   +9 more
semanticscholar   +1 more source

NIRS Coupled With Machine Learning Algorithms for the Authentication and Quality Assessment of Indigenous Cattle and Buffalo Meat

eFood, Volume 7, Issue 5, October 2026.
Portable NIRS combined with machine learning enabled rapid and accurate authentication of cattle and buffalo meat. Optimized models (XGBoost, CNN) achieved > 98% accuracy, while SHAP revealed key spectral regions. This dual approach offers a field‐ready, reagent‐free tool for fraud prevention and traceability. ABSTRACT Ensuring the authenticity of high‐
Dip Ghosh, Raad Al Deen, Md. Abul Hashem
wiley   +1 more source

Approaches for Hyperspectral Image Classification Detailed Review

, 2021
Hyperspectral Image (HSI) processing is the new advancement in image / signal processing field. The growth over the years is appreciable. The main reason behind the successful growth of the Hyperspectral imaging field is due to the enormous amount of ...
Beena R. Shetty, Prasantha H S, Kushalatha M R, null null   +3 more
core   +1 more source

When Lie Groups Meet Hyperspectral Images: Equivariant Manifold Network for Few-Shot HSI Classification

Sensors
Hyperspectral imagery (HSI) offers rich spectral signatures and fine-grained spatial structures for remote sensing, but practical HSI classification is often constrained by scarce labels and complex geometric disturbances, including translation, rotation, scaling, and shear.
Haolong Ban, Junchao Feng, Zejin Liu, Yue Jiang, Zhenxing Wang, Jialiang Liu, Yaowen Hu, Yuanshan Lin   +7 more
openaire   +2 more sources

Use of morphological and chemical features from near infrared-hyperspectral imaging (NIR-HSI) for advanced classification of rice varieties: A chemometric approach

Food Control
Rice is one of the world's most important staple crops, but its large varietal diversity makes authenticity control and fraud prevention difficult. This study investigated whether near-infrared hyperspectral imaging (NIR-HSI) combined with chemometrics could support rice variety discrimination through morphological and chemical information.
Elena Cazzaniga, Rodrigo Rocha de Oliveira, Nicola Cavallini, Francesco Savorani, Anna de Juan   +4 more
openaire   +1 more source

Meat Freshness Monitoring in the Modern Supply Chain: Analytical Advances, Smart Packaging, and Digital Integration

Food Science &Nutrition, Volume 14, Issue 10, October 2026.
Meat freshness monitoring is illustrated as an integrated system that links spoilage mechanisms to advanced detection and digital technologies. Microbial activity, enzymatic degradation, and chemical oxidation generate measurable changes in meat quality.
Md Abu Rayhan, Md. Hassan Bin Nabi, Tamanna Rahman, Md. Suhel Mia, Wahidu Zzaman   +4 more
wiley   +1 more source