A reinforced random forest model for enhanced crop yield prediction by integrating agrarian parameters
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02752-y.pdf
Reference47 articles.
1. Abolpour B, Javan M, Karamouz M (2007) Water allocation improvement in river basin using Adaptive Neural Fuzzy Reinforcement Learning approach. Appl Soft Comput 7:265–285. https://doi.org/10.1016/j.asoc.2005.02.007
2. Al-Dayaa HS, Megherbi DB (2012) Reinforcement learning technique using agent state occurrence frequency with analysis of knowledge sharing on the agent’s learning process in multiagent environments. J Supercomput 59:526–547. https://doi.org/10.1007/s11227-010-0451-x
3. Badrinarayanan V, Kendall A, Cipolla R (2017) SegNet: a deep convolutional encoder-decoder architecture for image segmentation. IEEE Trans Pattern Anal Machine Intell 39:2481–2495. https://doi.org/10.1109/TPAMI.2016.2644615
4. Bergez JE, Eigenraam M, Garcia F (2001) Comparison between dynamic programming and reinforcement learning: a case study on maize irrigation management. In Proceedings of the 3rd European Conference on Information Technology in Agriculture (EFITA01) 343–348. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.17.9148&rep=rep1&type=pdf
5. Bone C, Dragićević S (2010) Simulation and validation of a reinforcement learning agent-based model for multi-stakeholder forest management. Comput Environ Urban Syst 34:162–174. https://doi.org/10.1016/j.compenvurbsys.2009.10.001
Cited by 45 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. Machine learning-based extrapolation of crop cultivation cost;INTELIGENCIA ARTIFIC;2024
2. Enhanced Coconut Yield Prediction Using Internet of Things and Deep Learning: A Bi-Directional Long Short-Term Memory Lévy Flight and Seagull Optimization Algorithm Approach;Applied Sciences;2024-08-25
3. Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture;Smart Agricultural Technology;2024-08
4. Crop yield prediction using effective deep learning and dimensionality reduction approaches for Indian regional crops;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2024-06
5. Improvement and reduce risk of failure part -casting by multi-domain matrix- process failure modes and effects analysis based verband der automobilindustrie and design of experiment;International Journal of System Assurance Engineering and Management;2024-04-29
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