A systematic review on hyperspectral imaging technology with a machine and deep learning methodology for agricultural applications
The globe's population is increasing day by day, which causes the severe problem of
organic food for everyone. Farmers are becoming progressively conscious of the need to …
organic food for everyone. Farmers are becoming progressively conscious of the need to …
[HTML][HTML] Deep learning classifiers for hyperspectral imaging: A review
Advances in computing technology have fostered the development of new and powerful
deep learning (DL) techniques, which have demonstrated promising results in a wide range …
deep learning (DL) techniques, which have demonstrated promising results in a wide range …
[HTML][HTML] Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review
D Saha, A Manickavasagan - Current Research in Food Science, 2021 - Elsevier
Non-destructive testing techniques have gained importance in monitoring food quality over
the years. Hyperspectral imaging is one of the important non-destructive quality testing …
the years. Hyperspectral imaging is one of the important non-destructive quality testing …
Research progress on few-shot learning for remote sensing image interpretation
The rapid development of deep learning brings effective solutions for remote sensing image
interpretation. Training deep neural network models usually require a large number of …
interpretation. Training deep neural network models usually require a large number of …
DeepWeeds: A multiclass weed species image dataset for deep learning
Robotic weed control has seen increased research of late with its potential for boosting
productivity in agriculture. Majority of works focus on developing robotics for croplands …
productivity in agriculture. Majority of works focus on developing robotics for croplands …
Hyperspectral image analysis. A tutorial
JM Amigo, H Babamoradi, S Elcoroaristizabal - Analytica chimica acta, 2015 - Elsevier
This tutorial aims at providing guidelines and practical tools to assist with the analysis of
hyperspectral images. Topics like hyperspectral image acquisition, image pre-processing …
hyperspectral images. Topics like hyperspectral image acquisition, image pre-processing …
Applications of non-destructive technologies for agricultural and food products quality inspection
HS El-Mesery, H Mao, AEF Abomohra - Sensors, 2019 - mdpi.com
The quality and safety of food is an increasing concern for worldwide business. Non-
destructive methods (NDM), as a means of assessment and instrumentation have created an …
destructive methods (NDM), as a means of assessment and instrumentation have created an …
[HTML][HTML] Fruit ripeness classification: A survey
Fruit is a key crop in worldwide agriculture feeding millions of people. The standard supply
chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all …
chain of fruit products involves quality checks to guarantee freshness, taste, and, most of all …
Advances in infrared spectroscopy and hyperspectral imaging combined with artificial intelligence for the detection of cereals quality
D An, L Zhang, Z Liu, J Liu, Y Wei - Critical Reviews in Food …, 2023 - Taylor & Francis
Cereals provide humans with essential nutrients, and its quality assessment has attracted
widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as …
widespread attention. Infrared (IR) spectroscopy (IRS) and hyperspectral imaging (HSI), as …
Advances in non-destructive early assessment of fruit ripeness towards defining optimal time of harvest and yield prediction—A review
Global food security for the increasing world population not only requires increased
sustainable production of food but a significant reduction in pre-and post-harvest waste. The …
sustainable production of food but a significant reduction in pre-and post-harvest waste. The …