Review of weed detection methods based on computer vision

Z Wu, Y Chen, B Zhao, X Kang, Y Ding - Sensors, 2021 - mdpi.com
Weeds are one of the most important factors affecting agricultural production. The waste and
pollution of farmland ecological environment caused by full-coverage chemical herbicide …

A review on weed detection using ground-based machine vision and image processing techniques

A Wang, W Zhang, X Wei - Computers and electronics in agriculture, 2019 - Elsevier
Weeds are among the major factors that could harm crop yield. With the advances in
electronic and information technologies, machine vision combined with image processing …

Machine vision based condition monitoring and fault diagnosis of machine tools using information from machined surface texture: A review

Y Liu, L Guo, H Gao, Z You, Y Ye, B Zhang - Mechanical Systems and …, 2022 - Elsevier
Abstract Machine vision based condition monitoring and fault diagnosis of machine tools
(MVCMFD-MTs) is a vital technique of condition-based maintenance (CBM) in both metal …

Characterization of PET/CT images using texture analysis: the past, the present… any future?

M Hatt, F Tixier, L Pierce, PE Kinahan… - European journal of …, 2017 - Springer
After seminal papers over the period 2009–2011, the use of texture analysis of PET/CT
images for quantification of intratumour uptake heterogeneity has received increasing …

Principal component analysis: A natural approach to data exploration

FL Gewers, GR Ferreira, HFD Arruda, FN Silva… - ACM Computing …, 2021 - dl.acm.org
Principal component analysis (PCA) is often applied for analyzing data in the most diverse
areas. This work reports, in an accessible and integrated manner, several theoretical and …

[HTML][HTML] Combining spectral and textural information in UAV hyperspectral images to estimate rice grain yield

F Wang, Q Yi, J Hu, L Xie, X Yao, T Xu… - International Journal of …, 2021 - Elsevier
The speedy development of UAV (Unmanned Aerial Vehicle) has provided more data
choices for crop yield estimation. In most cases, spectral information derived from …

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review

B Zhang, W Huang, J Li, C Zhao, S Fan, J Wu… - Food Research …, 2014 - Elsevier
Appearance is a very important sensory quality attribute of fruits and vegetables, which can
influence not only their market value, consumer's preferences and choice but also their …

Using filter banks in convolutional neural networks for texture classification

V Andrearczyk, PF Whelan - Pattern Recognition Letters, 2016 - Elsevier
Deep learning has established many new state of the art solutions in the last decade in
areas such as object, scene and speech recognition. In particular Convolutional Neural …

Estimating aboveground biomass using Sentinel-2 MSI data and ensemble algorithms for grassland in the Shengjin Lake Wetland, China

C Li, L Zhou, W Xu - Remote Sensing, 2021 - mdpi.com
Wetland vegetation aboveground biomass (AGB) directly indicates wetland ecosystem
health and is critical for water purification, carbon cycle, and biodiversity conservation …

COVID-19 pathways for brain and heart injury in comorbidity patients: A role of medical imaging and artificial intelligence-based COVID severity classification: A …

JS Suri, A Puvvula, M Biswas, M Majhail, L Saba… - Computers in biology …, 2020 - Elsevier
Artificial intelligence (AI) has penetrated the field of medicine, particularly the field of
radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) …