Deep Learning Based IoT Module for Smart Farming in Different Environmental Conditions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-10016-5.pdf
Reference38 articles.
1. Issad, H. A., Aoudjit, R., & Joel, Rodrigues J. P. C. (2019). A comprehensive review of Data Mining techniques in smart agriculture. Engineering in Agriculture, Environment and Food, 12(4), 511–525
2. Chen, J. & Yang, A. (2019). Intelligent Agriculture and Its Key Technologies Based on Internet of Things Architecture. Ieee Access : Practical Innovations, Open Solutions, 7, 77134–77141
3. O’Grady, M. J., Langton, D., & O’Hare, G. M. P. (2019). Edge computing: A tractable model for smart agriculture? Artificial Intelligence in Agriculture, 3, 42–51
4. Farooq, M. S., Riaz, S., Abid, A., Abid, K., & Naeem, M. A. (2019). A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming. Ieee Access : Practical Innovations, Open Solutions, 7, 156237–156271
5. Bu, F. & Wang, X. (2019). A smart agriculture IoT system based on deep reinforcement learning. Future Generation Computer Systems, 99, 500–507
Cited by 18 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. IoT-based prediction and classification framework for smart farming using adaptive multi-scale deep networks;Expert Systems with Applications;2024-11
2. Smart Agriculture-Based Food Quality Analysis with Healthcare Security System Using Cloud Machine Learning Model;Remote Sensing in Earth Systems Sciences;2024-09-09
3. A comprehensive review on smart and sustainable agriculture using IoT technologies;Smart Agricultural Technology;2024-08
4. Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions;Journal of Network and Computer Applications;2024-08
5. A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints;Agriculture;2024-07-14
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