Contemporary machine learning applications in agriculture: Quo Vadis?-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Contemporary machine learning applications in agriculture: Quo Vadis?

Published:2022-03-18 Issue:15 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Mahmood Atif¹^ORCID,Tiwari Amod Kumar¹,Singh Sanjay Kumar²,Udmale Sandeep S.³

Affiliation:

1. Department of Computer Science and Engineering Dr.APJ Abdul Kalam Technical University Lucknow India

2. Department of Computer Science Dr.APJ Abdul Kalam Technical University Lucknow India

3. Department of Computer Engineering and IT Veermata Jijabai Technological Institute Mumbai India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.6940

Reference101 articles.

1. Application of Blockchain and Internet of Things in Healthcare and Medical Sector: Applications, Challenges, and Future Perspectives

2. Crop yield prediction using machine learning: A systematic literature review

3. Applying machine learning to agricultural data

4. Machine Learning and Deep Learning Based Computational Techniques in Automatic Agricultural Diseases Detection: Methodologies, Applications, and Challenges

5. Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Cited by 8 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. From sunburn detection to optimal cooling: A review of recent applications of thermal imaging to improve preharvest and postharvest handling of fruit and vegetables;Scientia Horticulturae;2024-11

2. Maturity grading of jujube for industrial applications harnessing deep learning;Engineering Computations;2024-06-18

3. Citrus Leaf Disease Prediction: Deep Feature Fusion Perspective;Lecture Notes in Networks and Systems;2024

4. Machine learning for food security: current status, challenges, and future perspectives;Artificial Intelligence Review;2023-10-27

5. A comparative study of optimization algorithms for feature selection on ML-based classification of agricultural data;Cluster Computing;2023-10-03

同舟云学术

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