Recent applications of multispectral imaging in seed phenotyping and quality monitoring—An overview

G ElMasry, N Mandour, S Al-Rejaie, E Belin… - Sensors, 2019 - mdpi.com
As a synergistic integration between spectroscopy and imaging technologies, spectral
imaging modalities have been emerged to tackle quality evaluation dilemmas by proposing …

[HTML][HTML] Artificial Intelligence for Biomass Detection, Production and Energy Usage in Rural Areas: A review of Technologies and Applications

Z Shi, G Ferrari, P Ai, F Marinello, A Pezzuolo - … Energy Technologies and …, 2023 - Elsevier
Artificial intelligence, an emerging concept, has successfully been applied to bioenergy
systems. However, highly scattered reviews were narrowly associated with either part of …

A fully convolutional neural network-based regression approach for effective chemical composition analysis using near-infrared spectroscopy in cloud

D Jiang, G Hu, G Qi, N Mazur - Journal of Artificial Intelligence …, 2021 - ojs.istp-press.com
As one chemical composition, nicotine content has an important influence on the quality of
tobacco leaves. Rapid and non-destructive quantitative analysis of nicotine is an important …

Vigour testing for the rice seed with computer vision-based techniques

J Qiao, Y Liao, C Yin, X Yang, HM Tú… - Frontiers in Plant …, 2023 - frontiersin.org
Rice is the staple food for approximately half of the world's population. Seed vigour has a
crucial impact on the yield, which can be evaluated by germination rate, vigor index and etc …

Utilization of computer vision and multispectral imaging techniques for classification of cowpea (Vigna unguiculata) seeds

G ElMasry, N Mandour, MH Wagner, D Demilly… - Plant methods, 2019 - Springer
Background The traditional methods for evaluating seeds are usually performed through
destructive sampling followed by physical, physiological, biochemical and molecular …

A long short-term memory neural network based simultaneous quantitative analysis of multiple tobacco chemical components by near-infrared hyperspectroscopy …

Z Zhu, G Qi, Y Lei, D Jiang, N Mazur, Y Liu, D Wang… - Chemosensors, 2022 - mdpi.com
Near-infrared (NIR) spectroscopy has been widely used in agricultural operations to obtain
various crop parameters, such as water content, sugar content, and different indicators of …

Hyperspectral imaging coupled with multivariate methods for seed vitality estimation and forecast for Quercus variabilis

L Pang, J Wang, S Men, L Yan, J Xiao - Spectrochimica Acta Part A …, 2021 - Elsevier
In this study, the feasibility of estimation and forecast of different vitality Quercus variabilis
seeds by a hyperspectral imaging technique were investigated. Artificially accelerated aging …

Ground-Based Hyperspectral Estimation of Maize Leaf Chlorophyll Content Considering Phenological Characteristics

Y Guo, S Jiang, H Miao, Z Song, J Yu, S Guo, Q Chang - Remote Sensing, 2024 - mdpi.com
Accurately measuring leaf chlorophyll content (LCC) is crucial for monitoring maize growth.
This study aims to rapidly and non-destructively estimate the maize LCC during four critical …

A review on recent near infrared spectroscopic measurement setups and their challenges

FW Hong, KS Chia - Measurement, 2021 - Elsevier
Despite near infrared spectroscopy (NIRS) has been studied as an alternative measurement
approach in various applications, NIRS measurement setup that used in most of studies is …

Rapid quantification of alkaloids, sugar and yield of tobacco (Nicotiana tabacum L.) varieties by using Vis–NIR–SWIR spectroradiometry

M Rodrigues, RB de Oliveira, GLAA Dos Santos… - … Acta Part A: Molecular …, 2022 - Elsevier
Tobacco genetic improvement programs, as well as the tobacco industry, require techniques
that allow the estimation of its attributes in a fast and cheap way. The use of remote sensing …