Exploring the Impact of Drone Remote Sensing Technology on Rice Productivity

Mingjue Li, Junkai Meng, Yushu Qiu
{"title":"Exploring the Impact of Drone Remote Sensing Technology on Rice Productivity","authors":"Mingjue Li, Junkai Meng, Yushu Qiu","doi":"10.61173/dspq9204","DOIUrl":null,"url":null,"abstract":"Unmanned Aerial Vehicle (UAV) remote sensing technology offers new solutions to many of these problems in traditional agricultural management. This paper delves into the application of UAV remote sensing technology in rice production, exploring how this advanced technology significantly enhances the efficiency of rice production. Continuous, real-time data provided by UAV remote sensing at different rice growth stages are crucial for agricultural producers. They allow for timely adjustments in management strategies, thereby maximizing rice production efficiency. This paper points out that UAV remote sensing can not only effectively monitor rice pests and diseases, accurately estimate yield, and optimize the use of nitrogen fertilizer by analyzing the spectral reflectance of the rice canopy. Furthermore, this paper emphasizes the application value of UAV remote sensing technology in monitoring the Leaf Area Index (LAI) of rice, which not only helps in precise water and fertilizer management, reducing production costs, but also provides a scientific basis for agricultural production decisions, improves the accuracy of yield forecasts, and promptly detects pests and diseases, enhancing the disease resistance of rice. Future research needs to continuously explore and innovate to overcome these challenges, enabling UAV remote sensing technology to play a greater role in promoting sustainable agricultural development, ensuring food security, and protecting the ecological environment.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"349 14‐15","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science and Technology of Engineering, Chemistry and Environmental Protection","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.61173/dspq9204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Unmanned Aerial Vehicle (UAV) remote sensing technology offers new solutions to many of these problems in traditional agricultural management. This paper delves into the application of UAV remote sensing technology in rice production, exploring how this advanced technology significantly enhances the efficiency of rice production. Continuous, real-time data provided by UAV remote sensing at different rice growth stages are crucial for agricultural producers. They allow for timely adjustments in management strategies, thereby maximizing rice production efficiency. This paper points out that UAV remote sensing can not only effectively monitor rice pests and diseases, accurately estimate yield, and optimize the use of nitrogen fertilizer by analyzing the spectral reflectance of the rice canopy. Furthermore, this paper emphasizes the application value of UAV remote sensing technology in monitoring the Leaf Area Index (LAI) of rice, which not only helps in precise water and fertilizer management, reducing production costs, but also provides a scientific basis for agricultural production decisions, improves the accuracy of yield forecasts, and promptly detects pests and diseases, enhancing the disease resistance of rice. Future research needs to continuously explore and innovate to overcome these challenges, enabling UAV remote sensing technology to play a greater role in promoting sustainable agricultural development, ensuring food security, and protecting the ecological environment.
探索无人机遥感技术对水稻产量的影响
无人机遥感技术为传统农业管理中的许多问题提供了新的解决方案。本文深入探讨了无人机遥感技术在水稻生产中的应用,探讨了这一先进技术如何显著提高水稻生产效率。无人机遥感技术在水稻不同生长阶段提供的连续、实时数据对农业生产者至关重要。通过这些数据,可以及时调整管理策略,从而最大限度地提高水稻生产效率。本文指出,通过分析水稻冠层的光谱反射率,无人机遥感不仅能有效监测水稻病虫害、准确估算产量,还能优化氮肥的使用。此外,本文还强调了无人机遥感技术在监测水稻叶面积指数(LAI)方面的应用价值,不仅有助于水肥精准管理,降低生产成本,还能为农业生产决策提供科学依据,提高产量预测的准确性,并能及时发现病虫害,增强水稻的抗病能力。未来的研究需要不断探索和创新,克服这些挑战,使无人机遥感技术在促进农业可持续发展、保障粮食安全、保护生态环境等方面发挥更大的作用。
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
自引率
0.00%
发文量
0
×
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