Disease Prediction of Mango Crop Using Machine Learning and IoT
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-24322-7_33
Reference12 articles.
1. Gundappa AT, Shukla PK (2016) Prediction of mango thrips using thermal indices. GERF Bull Biosc 7(1):17–20
2. Sladojevic S, Arsenovic M, Anderla A, Culibrk D, Stefanovic D (2016) Deep neural networks based recognition of plant diseases by leaf image classification. Comput Intell Neurosci 2016:1–11
3. Ferentinos KP (2018) Deep learning models for plant disease detection and diagnosis. Comput Electron Agric 145:311–318
4. https://innovate.mygov.in/wpcontent/uploads/2018/09/mygov1536109003113172.pdf
5. Singh BK, Singh S, Yadav SM (2014) Current scenario of production, area and some important post harvest disease of mango and their management in India: an overview. Asian J Plant Sci 13:46–50
Cited by 9 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. Detection and Classification of Various Diseases in Cotton Crops using advanced Neural Network Approaches;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11
2. A Robust and Accurate Potato Leaf Disease Detection System Using Modified AlexNet Model;2023 9th International Conference on Computer and Communication Engineering (ICCCE);2023-08-15
3. Analysis of Crop Diseases Using IoT and Machine Learning Approaches;Advances in Computer Science Research;2023
4. IoT-Assisted Crop Monitoring Using Machine Learning Algorithms for Smart Farming;Lecture Notes in Networks and Systems;2022-09-27
5. Deep Neural Network (DNN) Mechanism for Identification of Diseased and Healthy Plant Leaf Images Using Computer Vision;Annals of Data Science;2022-05-30
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