An extensive review of hyperspectral image classification and prediction: techniques and challenges

G Tejasree, L Agilandeeswari - Multimedia Tools and Applications, 2024 - Springer
Abstract Hyperspectral Image Processing (HSIP) is an essential technique in remote
sensing. Currently, extensive research is carried out in hyperspectral image processing …

[HTML][HTML] Advances in weed identification using hyperspectral imaging: a comprehensive review of platform sensors and deep learning techniques

B Mensah, N Rai, K Betitame, X Sun - Journal of Agriculture and Food …, 2024 - Elsevier
Hyperspectral remote sensors are emerging as valuable technology for identifying weeds in
field crops. These sensors can acquire high-resolution images, both spatially and spectrally …

[HTML][HTML] Severity Assessment of Cotton Canopy Verticillium Wilt by Machine Learning Based on Feature Selection and Optimization Algorithm Using UAV …

W Li, Y Guo, W Yang, L Huang, J Zhang, J Peng… - Remote Sensing, 2024 - mdpi.com
Verticillium wilt (VW) represents the most formidable challenge in cotton cultivation, critically
impairing both fiber yield and quality. Conventional resistance assessment techniques …

Detecting starch-adulterated turmeric using Vis-NIR spectroscopy and multispectral imaging with machine learning

MG Lanjewar, S Asolkar, JS Parab… - Journal of Food …, 2024 - Elsevier
Chemicals are often added to turmeric to increase profits, posing significant health risks to
consumers. At the same time, traditional methods for detecting contaminants in turmeric are …

[HTML][HTML] Utilization of Machine Learning and Hyperspectral Imaging Technologies for Classifying Coated Maize Seed Vigor: A Case Study on the Assessment of Seed …

K Wonggasem, P Wongchaisuwat, P Chakranon… - Agronomy, 2024 - mdpi.com
The conventional evaluation of maize seed vigor is a time-consuming and labor-intensive
process. By contrast, this study introduces an automated, nondestructive framework for …

Simultaneous detection for storage condition and storage time of yellow peach under different storage conditions using hyperspectral imaging with multi-target …

L Shi, J Sun, B Zhang, Z Wu, Y Jia, KS Yao… - Journal of Food …, 2024 - Elsevier
The detection for storage condition and storage time can ensure quality and safety of yellow
peaches, and optimize storage management. This study explored the feasibility of …

[HTML][HTML] A systematic review on precision agriculture applied to sunflowers, the role of hyperspectral imaging

L Centorame, A Ilari, A Del Gatto, EF Pedretti - Computers and Electronics …, 2024 - Elsevier
Sunflower is an annual species of the Asteraceae family, and it occupies a relevant position
in the world market business as one of the most important oilseed crops. Given the current …

Retrieval of nicotine content in cigar leaves by remote analysis of aerial hyperspectral combining machine learning methods

C Tian, Y Lu, H Xie, Y Yu, L Lu - Scientific Reports, 2025 - nature.com
Cigar leaf is a special type of tobacco plant, which is the raw material for producing high-
quality cigars. The content and proportion of nicotine and other composite substances of …

[HTML][HTML] Early Detection of Verticillium Wilt in Cotton by Using Hyperspectral Imaging Combined with Recurrence Plots

F Tan, X Gao, H Cang, N Wu, R Di, J Yan, C Li, P Gao… - Agronomy, 2025 - mdpi.com
Cotton is susceptible to Verticillium wilt (VW) during its growth. Early and accurate detection
of VW can facilitate targeted pesticide treatment and reduce the potential spread of the …

[HTML][HTML] Hyperspectral Imaging Combined with Machine Learning Can Be Used for Rapid and Non-Destructive Monitoring of Residual Nitrite in Emulsified Pork …

WY Son, MH Kang, J Hwang, JH Kim, Y Dixit, HW Kim - Foods, 2024 - mdpi.com
The non-destructive and rapid monitoring system for residual nitrite content in processed
meat products is critical for ensuring food safety and regulatory compliance. This study was …