Harnessing the future: cutting-edge technologies for plant disease control

IF 0.7 Q3 AGRONOMY
Suborna Rani, Kallol Das, F. M. Aminuzzaman, Benjamin Yaw Ayim, N. Borodynko-Filas
{"title":"Harnessing the future: cutting-edge technologies for plant disease control","authors":"Suborna Rani, Kallol Das, F. M. Aminuzzaman, Benjamin Yaw Ayim, N. Borodynko-Filas","doi":"10.24425/jppr.2023.147829","DOIUrl":null,"url":null,"abstract":"The world population is projected to reach 9.8 billion in 2050, and 11.2 billion in 2100 (United Nations) and people will need food, and decrease the farming land. Thus, the importance of Internet of Things (IoT) and Computer Science (CS) in plant disease management are increasing now-a-days. Mobile apps, remote sensing, spectral signature analysis, artificial neural networks (ANN), and deep learning monitors are commonly used in plant disease and pest management. IoT improves crop yield by fostering new farming methods along with the improvement of monitoring and management through cloud computing. In the quest for effective plant disease control, the future lies in cutting-edge technologies. The integration of IoT, artificial intelligence, and data analytics revolutionizes monitoring and diagnosis, enabling timely and precise interventions. Cloud computing facilitates real-time data sharing and analysis empower farmers to combat diseases with unprecedented efficiency. By harnessing these innovations, agriculture can embrace sustainable practices and safeguard crop health, ensuring a bountiful and secure future for the global food supply.","PeriodicalId":16848,"journal":{"name":"Journal of Plant Protection Research","volume":"6 2","pages":""},"PeriodicalIF":0.7000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Plant Protection Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24425/jppr.2023.147829","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0

Abstract

The world population is projected to reach 9.8 billion in 2050, and 11.2 billion in 2100 (United Nations) and people will need food, and decrease the farming land. Thus, the importance of Internet of Things (IoT) and Computer Science (CS) in plant disease management are increasing now-a-days. Mobile apps, remote sensing, spectral signature analysis, artificial neural networks (ANN), and deep learning monitors are commonly used in plant disease and pest management. IoT improves crop yield by fostering new farming methods along with the improvement of monitoring and management through cloud computing. In the quest for effective plant disease control, the future lies in cutting-edge technologies. The integration of IoT, artificial intelligence, and data analytics revolutionizes monitoring and diagnosis, enabling timely and precise interventions. Cloud computing facilitates real-time data sharing and analysis empower farmers to combat diseases with unprecedented efficiency. By harnessing these innovations, agriculture can embrace sustainable practices and safeguard crop health, ensuring a bountiful and secure future for the global food supply.
把握未来:植物病害控制的尖端技术
预计到 2050 年,世界人口将达到 98 亿,到 2100 年将达到 112 亿(联合国)。因此,物联网(IoT)和计算机科学(CS)在植物病害管理中的重要性与日俱增。移动应用程序、遥感、光谱特征分析、人工神经网络(ANN)和深度学习监控器在植物病虫害管理中得到了广泛应用。物联网通过云计算改进监控和管理,促进了新耕作方法的发展,从而提高了作物产量。在寻求有效植物病害控制的过程中,未来取决于尖端技术。物联网、人工智能和数据分析的整合彻底改变了监测和诊断,实现了及时、精确的干预。云计算促进了实时数据共享和分析,使农民能够以前所未有的效率防治病害。通过利用这些创新,农业可以采用可持续的做法,保障作物健康,确保全球粮食供应在未来实现丰收和安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Plant Protection Research
Journal of Plant Protection Research Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.10
自引率
9.10%
发文量
0
审稿时长
30 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信