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iRICE decision support system: time-series forecasting model for the risk management system

The development of a decision support system (DSS) called the Risk Management System aims to empower farmers in making well-informed decisions, ultimately enhancing rice field production. This system focuses on providing a monitoring mechanism that optimizes monitoring and control efforts in paddy p...

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Main Authors: Husin, Nor Azura, Sivajiganason, Vishnuu A. L., Kamaruzzaman, Nurul Nadhrah, Mazlan, Norida, Sitanggang, Imas Sukaesih
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2024
Online Access:http://psasir.upm.edu.my/id/eprint/105821/1/ARASETV33_N2_P160_173.pdf
http://psasir.upm.edu.my/id/eprint/105821/
https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/3836
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spelling my.upm.eprints.1058212024-07-15T04:15:08Z http://psasir.upm.edu.my/id/eprint/105821/ iRICE decision support system: time-series forecasting model for the risk management system Husin, Nor Azura Sivajiganason, Vishnuu A. L. Kamaruzzaman, Nurul Nadhrah Mazlan, Norida Sitanggang, Imas Sukaesih The development of a decision support system (DSS) called the Risk Management System aims to empower farmers in making well-informed decisions, ultimately enhancing rice field production. This system focuses on providing a monitoring mechanism that optimizes monitoring and control efforts in paddy plantations. By employing predictive modeling, integrated pest monitoring, and decision support systems for pests, weeds, abiotic variables, and rainfall patterns, it predicts the likelihood and consequences of potential weed infestations, pest outbreaks, and changes in weather patterns like temperature and rainfall. By leveraging precision agriculture technologies and data-driven insights, the Risk Management System keeps a vigilant watch on disease and pest presence in paddy fields. It promptly alerts farmers when specific thresholds are surpassed, enabling them to take immediate action. The system facilitates effective data analysis for extension officers, enabling them to swiftly respond to emergency situations. Overall, this method offers a practical and efficient response to the challenges faced by paddy farmers. It equips them with the ability to make informed decisions, increase production, and effectively manage diseases and pests, ultimately leading to improved agricultural outcomes. Semarak Ilmu Publishing 2024-01 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/105821/1/ARASETV33_N2_P160_173.pdf Husin, Nor Azura and Sivajiganason, Vishnuu A. L. and Kamaruzzaman, Nurul Nadhrah and Mazlan, Norida and Sitanggang, Imas Sukaesih (2024) iRICE decision support system: time-series forecasting model for the risk management system. Journal of Advanced Research in Applied Sciences and Engineering Technology, 33 (2). pp. 160-173. ISSN 2462-1943 https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/3836 10.37934/araset.33.2.160173
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The development of a decision support system (DSS) called the Risk Management System aims to empower farmers in making well-informed decisions, ultimately enhancing rice field production. This system focuses on providing a monitoring mechanism that optimizes monitoring and control efforts in paddy plantations. By employing predictive modeling, integrated pest monitoring, and decision support systems for pests, weeds, abiotic variables, and rainfall patterns, it predicts the likelihood and consequences of potential weed infestations, pest outbreaks, and changes in weather patterns like temperature and rainfall. By leveraging precision agriculture technologies and data-driven insights, the Risk Management System keeps a vigilant watch on disease and pest presence in paddy fields. It promptly alerts farmers when specific thresholds are surpassed, enabling them to take immediate action. The system facilitates effective data analysis for extension officers, enabling them to swiftly respond to emergency situations. Overall, this method offers a practical and efficient response to the challenges faced by paddy farmers. It equips them with the ability to make informed decisions, increase production, and effectively manage diseases and pests, ultimately leading to improved agricultural outcomes.
format Article
author Husin, Nor Azura
Sivajiganason, Vishnuu A. L.
Kamaruzzaman, Nurul Nadhrah
Mazlan, Norida
Sitanggang, Imas Sukaesih
spellingShingle Husin, Nor Azura
Sivajiganason, Vishnuu A. L.
Kamaruzzaman, Nurul Nadhrah
Mazlan, Norida
Sitanggang, Imas Sukaesih
iRICE decision support system: time-series forecasting model for the risk management system
author_facet Husin, Nor Azura
Sivajiganason, Vishnuu A. L.
Kamaruzzaman, Nurul Nadhrah
Mazlan, Norida
Sitanggang, Imas Sukaesih
author_sort Husin, Nor Azura
title iRICE decision support system: time-series forecasting model for the risk management system
title_short iRICE decision support system: time-series forecasting model for the risk management system
title_full iRICE decision support system: time-series forecasting model for the risk management system
title_fullStr iRICE decision support system: time-series forecasting model for the risk management system
title_full_unstemmed iRICE decision support system: time-series forecasting model for the risk management system
title_sort irice decision support system: time-series forecasting model for the risk management system
publisher Semarak Ilmu Publishing
publishDate 2024
url http://psasir.upm.edu.my/id/eprint/105821/1/ARASETV33_N2_P160_173.pdf
http://psasir.upm.edu.my/id/eprint/105821/
https://semarakilmu.com.my/journals/index.php/applied_sciences_eng_tech/article/view/3836
_version_ 1805889901133037568
score 13.211869

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