A review on the combination of deep learning techniques with proximal hyperspectral images in agriculture
JGA Barbedo - Computers and Electronics in Agriculture, 2023 - Elsevier
Hyperspectral images can capture the spectral characteristics of surfaces and objects,
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …
providing a 2-D spacial component to the spectral profiles found in a given scene. There are …
Machine learning applications to improve flavor and nutritional content of horticultural crops through breeding and genetics
Highlights•AI can aid the improvement of flavor and nutrition in horticultural
crops.•Development of new AI/statistical methods target inference and prediction …
crops.•Development of new AI/statistical methods target inference and prediction …
[HTML][HTML] Deep learning in food category recognition
Integrating artificial intelligence with food category recognition has been a field of interest for
research for the past few decades. It is potentially one of the next steps in revolutionizing …
research for the past few decades. It is potentially one of the next steps in revolutionizing …
Non‐destructive optical sensing technologies for advancing the egg industry toward Industry 4.0: A review
The egg is considered one of the best sources of dietary protein, and has an important role
in human growth and development. With the increase in the world's population, per capita …
in human growth and development. With the increase in the world's population, per capita …
Advancing tea detection with artificial intelligence: Strategies, progress, and future prospects
Q Xu, Y Zhou, L Wu - Trends in Food Science & Technology, 2024 - Elsevier
Background Tea is a vital economic crop in develo** countries, crucial for rural
development, poverty reduction, and food security. Tea consumption offers health benefits …
development, poverty reduction, and food security. Tea consumption offers health benefits …
Applications of hyperspectral imaging technology combined with machine learning in quality control of traditional Chinese medicine from the perspective of artificial …
Y Pan, H Zhang, Y Chen, X Gong, J Yan… - Critical reviews in …, 2024 - Taylor & Francis
Traditional Chinese medicine (TCM) is the treasure of China, and the quality control of TCM
is of crucial importance. In recent years, with the quick rise of artificial intelligence (AI) and …
is of crucial importance. In recent years, with the quick rise of artificial intelligence (AI) and …
[HTML][HTML] Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review
Artificial Intelligence (AI) techniques have evolved into practical, fast and effective tools in
combination with detecting devices for quality assessment, particularly in adulteration and …
combination with detecting devices for quality assessment, particularly in adulteration and …
[HTML][HTML] The effect of artificial intelligence evolving on hyperspectral imagery with different signal-to-noise ratio, spectral and spatial resolutions
Hyperspectral images are increasingly being used in classification and identification. Data
users prefer hyperspectral imagery with high spatial resolution, finer spectral resolution, and …
users prefer hyperspectral imagery with high spatial resolution, finer spectral resolution, and …
A Spatial–Spectral Transformer for Hyperspectral Image Classification Based on Global Dependencies of Multi-Scale Features
Vision transformers (ViTs) are increasingly utilized for HSI classification due to their
outstanding performance. However, ViTs encounter challenges in capturing global …
outstanding performance. However, ViTs encounter challenges in capturing global …
[HTML][HTML] Non-destructive fruit firmness evaluation using a soft gripper and vision-based tactile sensing
As fruit firmness is a crucial characteristic associated with the maturity level, its accurate
estimation is of great importance to post-harvest processing and wholesale in the industry …
estimation is of great importance to post-harvest processing and wholesale in the industry …