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

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 a...

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Detalles Bibliográficos
Autores principales: Singh, Debabrata, Biswal, Anil Kumar, Samanta, Debabrata, Singh, Vijendra, Kadry, Seifedine, Khan, Awais, Nam, Yunyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477787/
https://www.ncbi.nlm.nih.gov/pubmed/37674739
http://dx.doi.org/10.3389/fpls.2023.1239594
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author Singh, Debabrata
Biswal, Anil Kumar
Samanta, Debabrata
Singh, Vijendra
Kadry, Seifedine
Khan, Awais
Nam, Yunyoung
author_facet Singh, Debabrata
Biswal, Anil Kumar
Samanta, Debabrata
Singh, Vijendra
Kadry, Seifedine
Khan, Awais
Nam, Yunyoung
author_sort Singh, Debabrata
collection PubMed
description 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.
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spelling pubmed-104777872023-09-06 Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things Singh, Debabrata Biswal, Anil Kumar Samanta, Debabrata Singh, Vijendra Kadry, Seifedine Khan, Awais Nam, Yunyoung Front Plant Sci Plant Science 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. Frontiers Media S.A. 2023-08-22 /pmc/articles/PMC10477787/ /pubmed/37674739 http://dx.doi.org/10.3389/fpls.2023.1239594 Text en Copyright © 2023 Singh, Biswal, Samanta, Singh, Kadry, Khan and Nam https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Singh, Debabrata
Biswal, Anil Kumar
Samanta, Debabrata
Singh, Vijendra
Kadry, Seifedine
Khan, Awais
Nam, Yunyoung
Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
title Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
title_full Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
title_fullStr Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
title_full_unstemmed Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
title_short Smart high-yield tomato cultivation: precision irrigation system using the Internet of Things
title_sort smart high-yield tomato cultivation: precision irrigation system using the internet of things
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10477787/
https://www.ncbi.nlm.nih.gov/pubmed/37674739
http://dx.doi.org/10.3389/fpls.2023.1239594
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