Developing an extreme learning machine based approach to weed segmentation in pastures
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,General Agricultural and Biological Sciences,Computer Science (miscellaneous)
Reference51 articles.
1. Muhammad Ahmad, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Multi-layer extreme learning machine-based autoencoder for hyperspectral image classification, 2019.
2. Real-time machine-learning based crop/weed detection and classification for variable-rate spraying in precision agriculture;Alam,2020
3. Correction to: extreme learning machine for plant diseases classification: a sustainable approach for smart agriculture;Aqel;Clust. Comput.,2022
4. Controlled comparison of machine vision algorithms for Rumex and Urtica detection in grassland;Binch;Comput. Electron. Agric.,2017
5. Transfer learning between crop types for semantic segmentation of crops versus weeds in precision agriculture;Bosilj;J. Field Robot.,2020
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. APPLICATIONS OF SATELLITE PLATFORMS AND MACHINE LEARNING FOR MAPPING AND MONITORING GRASSLANDS AND PASTURES: A SYSTEMATIC AND COMPREHENSIVE REVIEW;Smart Agricultural Technology;2024-09
2. Transformative Technologies in Digital Agriculture: Leveraging Internet of Things, Remote Sensing, and Artificial Intelligence for Smart Crop Management;Journal of Sensor and Actuator Networks;2024-07-08
3. Network intrusion detection utilizing information entropy measurement-based LLE and weighted kernel extreme learning machine with CPSO;2023-10-30
4. Initial Growth of Gmelina arborea and Efficacy of RGB Image to Capture Canopy Area in a Large Range of Stockings;Remote Sensing;2023-09-28
5. Latest Trends and Challenges in Digital Agriculture for Crop Production;2023
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3