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 …

[HTML][HTML] Review of weed recognition: A global agriculture perspective

M Darbyshire, S Coutts, P Bosilj, E Sklar… - … and Electronics in …, 2024 - Elsevier
Recent years have seen the emergence of various precision weed management
technologies in both research and commercial contexts. These technologies better target …

MA green and efficient method for detecting nicosulfuron residues in field maize using hyperspectral imaging and deep learning

T Xiao, L Yang, X He, L Wang, D Zhang, T Cui… - Journal of Hazardous …, 2024 - Elsevier
Accurate and rapid detection of nicosulfuron herbicide residues in field-grown maize is
essential for implementing chemical remediation and optimizing spraying strategies …

Leakage current sensor and neural network for MOA monitoring

T He, Y Li, Z Zhang, P Shen… - Computational …, 2022 - Wiley Online Library
Metal‐oxide arrester (MOA) has been widely used in electric power systems. The leakage
current monitoring of MOA can not only detect the MOA's running state continuously and …

Image classification of forage grasses on Etuoke Banner using edge autoencoder network

D Han, M Tian, C Gong, S Zhang, Y Ji, X Du, Y Wei… - Plos one, 2022 - journals.plos.org
Automatically identifying the forage is the basis of intelligent fine breeding of cattle and
sheep. In specific, it is a key step to study the relationship between the type and quantity of …

Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Crops

M Darbyshire, S Coutts, E Hammond… - arXiv preprint arXiv …, 2024 - arxiv.org
As the burden of herbicide resistance grows and the environmental repercussions of
excessive herbicide use become clear, new ways of managing weed populations are …

Accurate recognition method of continuous sports action based on deep learning algorithm

H Zhengfeng - Wireless Communications and Mobile …, 2022 - Wiley Online Library
In order to improve the recognition effect of continuous sports action, an accurate recognition
method of continuous sports action based on deep learning is proposed. The convolution …

Possible Factors Related to Mortality of Pregnant Women with COVID-19: A Machine Learning Approach

TTT Tran, HP Tran, SNT Vu, TTN Tran… - Fertility & …, 2023 - World Scientific
Background: The COVID-19 pandemic has affected people of all ages and backgrounds, but
pregnant women are a particularly vulnerable group. They are at increased risk of severe …

[HTML][HTML] 双层残差语义分割网络及交通场景应用

谭睿俊, 赵志诚, 谢新林 - 智能系统学报, 2022 - html.rhhz.net
针对图像语义分割过程中特征提取网络的深度问题以及下采样池化层降低特征图分辨率等问题,
提出了一种基于双层残差网络特征提取的图像语义分割网络, 称为DResnet …

TOKAT BÖLGESİ BUĞDAY ÜRETİMİNDE BAZI YABANCI OTLARIN DERİN ÖĞRENME YÖNTEMİ İLE TESPİT EDİLMESİ

G Mustafa - 2022 - aperta.ulakbim.gov.tr
Mustafa Güzel Tokat Gaziosmanpaşa Üniversitesi Lisansüstü Eğitim Enstitüsü Biyosistem
Mühendisliği Anabilim Dalı Tez Danışmanı: Dr. Öğr. Üyesi Bülent Turan İkinci Danışman …