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The Design and Development of Smart Agriculture Data Analytics

Agriculture is on the verge of entering the Smart Farming era, in which farming operations will become digitalized and data-driven, allowing for better decision support, smart analytics, and forecasting. Farming is the most diverse economic sector and is critical to a country's overall economic...

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Main Authors: Marjudi, Suziyanti, Setik, Roziyani, Salamat, Mohamad Aizi, Yusfaidir, Muhammad Fahruddin Irfan
Format: Article
Language:English
Published: Ijetea 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/8916/1/J15852_ead556e89bc470785ee98ae40c5cd46e.pdf
http://eprints.uthm.edu.my/8916/
https://doi.org/10.46338/ijetae0123_10
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spelling my.uthm.eprints.89162023-06-18T01:35:08Z http://eprints.uthm.edu.my/8916/ The Design and Development of Smart Agriculture Data Analytics Marjudi, Suziyanti Setik, Roziyani Salamat, Mohamad Aizi Yusfaidir, Muhammad Fahruddin Irfan T Technology (General) Agriculture is on the verge of entering the Smart Farming era, in which farming operations will become digitalized and data-driven, allowing for better decision support, smart analytics, and forecasting. Farming is the most diverse economic sector and is critical to a country's overall economic development. The Internet of Things (IoT) can potentially optimize agriculture and farming sector activities by reducing manpower through technology. Forecasts are central to most agricultural and agricultural-related operations. Smart Agriculture Data Analytics (SADA) was developed to address this issue. SADA is an embedded system with two components: data analytics and the Internet of Things (IoT). IoT in SADA also assists farmers in collecting data and learning more about the appropriate soil PH scale, fertilizer dataset, air humidity, and temperature. A prototyping model is used in software development. The farmer can provide real-time feedback, request project changes, and update model specifications. SADA will help farmers understand the trend of analytics crop production, allowing them to increase yield. Ijetea 2023 Article PeerReviewed text en http://eprints.uthm.edu.my/8916/1/J15852_ead556e89bc470785ee98ae40c5cd46e.pdf Marjudi, Suziyanti and Setik, Roziyani and Salamat, Mohamad Aizi and Yusfaidir, Muhammad Fahruddin Irfan (2023) The Design and Development of Smart Agriculture Data Analytics. International Journal of Emerging Technology and Advanced Engineering, 13 (1). pp. 82-91. ISSN 2250-2459 https://doi.org/10.46338/ijetae0123_10
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Marjudi, Suziyanti
Setik, Roziyani
Salamat, Mohamad Aizi
Yusfaidir, Muhammad Fahruddin Irfan
The Design and Development of Smart Agriculture Data Analytics
description Agriculture is on the verge of entering the Smart Farming era, in which farming operations will become digitalized and data-driven, allowing for better decision support, smart analytics, and forecasting. Farming is the most diverse economic sector and is critical to a country's overall economic development. The Internet of Things (IoT) can potentially optimize agriculture and farming sector activities by reducing manpower through technology. Forecasts are central to most agricultural and agricultural-related operations. Smart Agriculture Data Analytics (SADA) was developed to address this issue. SADA is an embedded system with two components: data analytics and the Internet of Things (IoT). IoT in SADA also assists farmers in collecting data and learning more about the appropriate soil PH scale, fertilizer dataset, air humidity, and temperature. A prototyping model is used in software development. The farmer can provide real-time feedback, request project changes, and update model specifications. SADA will help farmers understand the trend of analytics crop production, allowing them to increase yield.
format Article
author Marjudi, Suziyanti
Setik, Roziyani
Salamat, Mohamad Aizi
Yusfaidir, Muhammad Fahruddin Irfan
author_facet Marjudi, Suziyanti
Setik, Roziyani
Salamat, Mohamad Aizi
Yusfaidir, Muhammad Fahruddin Irfan
author_sort Marjudi, Suziyanti
title The Design and Development of Smart Agriculture Data Analytics
title_short The Design and Development of Smart Agriculture Data Analytics
title_full The Design and Development of Smart Agriculture Data Analytics
title_fullStr The Design and Development of Smart Agriculture Data Analytics
title_full_unstemmed The Design and Development of Smart Agriculture Data Analytics
title_sort design and development of smart agriculture data analytics
publisher Ijetea
publishDate 2023
url http://eprints.uthm.edu.my/8916/1/J15852_ead556e89bc470785ee98ae40c5cd46e.pdf
http://eprints.uthm.edu.my/8916/
https://doi.org/10.46338/ijetae0123_10
_version_ 1769845112782716928
score 13.211869

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