• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

智能高产番茄种植：使用物联网的精准灌溉系统。

Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things.

作者信息

Singh Debabrata, Biswal Anil Kumar, Samanta Debabrata, Singh Vijendra, Kadry Seifedine, Khan Awais, Nam Yunyoung

机构信息

Department of Computer Application (CA), Institute of Technical Education and Research (ITER), Siksha 'O'Anusandhan (SOA) Deemed to be University, Bhubaneswar (BBSR), Odisha, India.

Department of Computer Science and Engineering (CSE), Institute of Technical Education and Research (ITER), Siksha 'O'Anusandhan (SOA) Deemed to be University, Bhubaneswar (BBSR), Odisha, India.

出版信息

Front Plant Sci. 2023 Aug 22;14:1239594. doi: 10.3389/fpls.2023.1239594. eCollection 2023.

DOI:10.3389/fpls.2023.1239594
PMID:37674739
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10477787/
Abstract

The Internet of Things (IOT)-based smart farming promises ultrafast speeds and near real-time response. Precision farming enabled by the Internet of Things has the potential to boost efficiency and output while reducing water use. Therefore, IoT devices can aid farmers in keeping track crop health and development while also automating a variety of tasks (such as moisture level prediction, irrigation system, crop development, and nutrient levels). The IoT-based autonomous irrigation technique makes exact use of farmers' time, money, and power. High crop yields can be achieved through consistent monitoring and sensing of crops utilizing a variety of IoT sensors to inform farmers of optimal harvest times. In this paper, a smart framework for growing tomatoes is developed, with influence from IoT devices or modules. With the help of IoT modules, we can forecast soil moisture levels and fine-tune the watering schedule. To further aid farmers, a smartphone app is currently in development that will provide them with crucial data on the health of their tomato crops. Large-scale experiments validate the proposed model's ability to intelligently monitor the irrigation system, which contributes to higher tomato yields.

摘要

基于物联网（IoT）的智能农业有望实现超快速度和近乎实时的响应。物联网支持的精准农业有潜力提高效率和产量，同时减少水资源使用。因此，物联网设备可以帮助农民跟踪作物健康状况和生长情况，还能实现各种任务的自动化（如湿度水平预测、灌溉系统、作物生长和营养水平）。基于物联网的自主灌溉技术能精确利用农民的时间、金钱和能源。通过使用各种物联网传感器持续监测和感知作物，告知农民最佳收获时间，从而实现高作物产量。本文在物联网设备或模块的影响下，开发了一个种植番茄的智能框架。借助物联网模块，我们可以预测土壤湿度水平并微调浇水计划。为进一步帮助农民，目前正在开发一款智能手机应用程序，它将为农民提供有关番茄作物健康状况的关键数据。大规模实验验证了所提模型智能监控灌溉系统的能力，这有助于提高番茄产量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/efae5dc45332/fpls-14-1239594-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/7be28d44aa4e/fpls-14-1239594-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/a7f641e68dbf/fpls-14-1239594-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/876c40aaf209/fpls-14-1239594-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/85cb10bce930/fpls-14-1239594-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/74eb28e59084/fpls-14-1239594-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/24af18b0df1c/fpls-14-1239594-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/efae5dc45332/fpls-14-1239594-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/7be28d44aa4e/fpls-14-1239594-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/a7f641e68dbf/fpls-14-1239594-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/876c40aaf209/fpls-14-1239594-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/85cb10bce930/fpls-14-1239594-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/74eb28e59084/fpls-14-1239594-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/24af18b0df1c/fpls-14-1239594-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acad/10477787/efae5dc45332/fpls-14-1239594-g007.jpg

相似文献

1
Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things.智能高产番茄种植：使用物联网的精准灌溉系统。
Front Plant Sci. 2023 Aug 22;14:1239594. doi: 10.3389/fpls.2023.1239594. eCollection 2023.
2
Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture.迈向田间对话：一个支持实时云的物联网作物管理智能农业平台。
Front Plant Sci. 2023 Jan 4;13:1030168. doi: 10.3389/fpls.2022.1030168. eCollection 2022.
3
Irrigation intelligence-enabling a cloud-based Internet of Things approach for enhanced water management in agriculture.灌溉智能化——基于云的物联网技术在农业中增强水资源管理
Environ Monit Assess. 2024 Apr 9;196(5):438. doi: 10.1007/s10661-024-12606-1.
4
Multiparameter optimization system with DCNN in precision agriculture for advanced irrigation planning and scheduling based on soil moisture estimation.基于土壤水分估计的精准农业中具有 DCNN 的多参数优化系统，用于先进的灌溉规划和调度。
Environ Monit Assess. 2022 Oct 22;195(1):13. doi: 10.1007/s10661-022-10529-3.
5
Smart Crop Cultivation System Using Automated Agriculture Monitoring Environment in the Context of Bangladesh Agriculture.孟加拉国农业背景下的自动化农业监测环境智能作物种植系统。
Sensors (Basel). 2023 Oct 15;23(20):8472. doi: 10.3390/s23208472.
6
Design and Performance Evaluation of a Low-Cost Autonomous Sensor Interface for a Smart IoT-Based Irrigation Monitoring and Control System.基于智能物联网的灌溉监测与控制系统的低成本自主传感器接口的设计与性能评估
Sensors (Basel). 2019 Aug 21;19(17):3643. doi: 10.3390/s19173643.
7
Smart & Green: An Internet-of-Things Framework for Smart Irrigation.智能与绿色：智能灌溉物联网框架
Sensors (Basel). 2019 Dec 29;20(1):190. doi: 10.3390/s20010190.
8
Internet of things (IoT) for smart agriculture: Assembling and assessment of a low-cost IoT system for polytunnels.物联网（IoT）在智慧农业中的应用：组装和评估用于温室的低成本 IoT 系统。
PLoS One. 2023 May 25;18(5):e0278440. doi: 10.1371/journal.pone.0278440. eCollection 2023.
9
Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture.智能水务管理平台：基于物联网的农业精准灌溉。
Sensors (Basel). 2019 Jan 11;19(2):276. doi: 10.3390/s19020276.
10
Internet of things enabled deep learning methods using unmanned aerial vehicles enabled integrated farm management.利用无人机的深度学习方法实现的物联网支持的综合农场管理。
Heliyon. 2023 Jul 26;9(8):e18659. doi: 10.1016/j.heliyon.2023.e18659. eCollection 2023 Aug.

引用本文的文献

1
The IoT and AI in Agriculture: The Time Is Now-A Systematic Review of Smart Sensing Technologies.农业中的物联网与人工智能：时机已至——智能传感技术的系统综述
Sensors (Basel). 2025 Jun 6;25(12):3583. doi: 10.3390/s25123583.
2
Research on the impact and mechanism of digital economy on China's food production capacity.数字经济对中国粮食生产能力的影响及作用机制研究
Sci Rep. 2024 Nov 8;14(1):27292. doi: 10.1038/s41598-024-78273-x.

本文引用的文献

1
Towards making the fields talks: A real-time cloud enabled IoT crop management platform for smart agriculture.迈向田间对话：一个支持实时云的物联网作物管理智能农业平台。
Front Plant Sci. 2023 Jan 4;13:1030168. doi: 10.3389/fpls.2022.1030168. eCollection 2022.
2
Application of smart irrigation systems for water conservation in Italian farms.智能灌溉系统在意大利农场的节水应用。
Environ Sci Pollut Res Int. 2021 Jun;28(21):26488-26499. doi: 10.1007/s11356-021-12524-6. Epub 2021 Jan 23.
3
Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system.
基于物联网的供水与管理系统实施框架。
Clean Technol Environ Policy. 2021;23(1):271-283. doi: 10.1007/s10098-020-01975-z. Epub 2020 Oct 29.
4
A new variety of purple tomato as a rich source of bioactive carotenoids and its potential health benefits.一种富含生物活性类胡萝卜素的新型紫色番茄及其潜在的健康益处。
Heliyon. 2019 Nov 14;5(11):e02831. doi: 10.1016/j.heliyon.2019.e02831. eCollection 2019 Nov.
5
Application of magnetic field improves growth, yield and fruit quality of tomato irrigated alternatively by fresh and agricultural drainage water.磁场的应用改善了交替使用新鲜农业排水和灌溉水的番茄的生长、产量和果实品质。
Ecotoxicol Environ Saf. 2019 Oct 15;181:248-254. doi: 10.1016/j.ecoenv.2019.06.018. Epub 2019 Jun 11.
6
Agricultural and Physiological Responses of Tomato Plants Grown in Different Soilless Culture Systems with Saline Water under Greenhouse Conditions.温室条件下不同无土栽培系统用盐水种植的番茄植株的农艺和生理响应。
Sci Rep. 2019 May 1;9(1):6733. doi: 10.1038/s41598-019-42805-7.
7
Prebiotics from acorn and sago prevent high-fat-diet-induced insulin resistance via microbiome-gut-brain axis modulation.橡实和西米来源的益生元通过调节微生物群-肠-脑轴预防高脂肪饮食诱导的胰岛素抵抗。
J Nutr Biochem. 2019 May;67:1-13. doi: 10.1016/j.jnutbio.2019.01.011. Epub 2019 Jan 30.
8
Smart Water Management Platform: IoT-Based Precision Irrigation for Agriculture.智能水务管理平台：基于物联网的农业精准灌溉。
Sensors (Basel). 2019 Jan 11;19(2):276. doi: 10.3390/s19020276.
9
Agrobacterium tumefaciens-Mediated Transformation of Tomato.根癌农杆菌介导的番茄转化
Methods Mol Biol. 2019;1864:225-234. doi: 10.1007/978-1-4939-8778-8_16.
10
The Effects of Saline Water Drip Irrigation on Tomato Yield, Quality, and Blossom-End Rot Incidence --- A 3a Case Study in the South of China.盐水滴灌对番茄产量、品质及脐腐病发病率的影响——中国南方的一项为期3年的案例研究
PLoS One. 2015 Nov 5;10(11):e0142204. doi: 10.1371/journal.pone.0142204. eCollection 2015.