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 …
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 …
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
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 …
(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?
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 …
images for quantification of intratumour uptake heterogeneity has received increasing …
Principal component analysis: A natural approach to data exploration
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 …
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 …
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 …
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 …
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 …
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 …
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) …
radiology. Since its emergence, the highly virulent coronavirus disease 2019 (COVID-19) …