Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village

Extreme climate change results in unpredictable weather patterns. This problem brings an impact particularly for rice farmers. Weather prediction system can help farmers to make the right decisions before weather changes occur. However, the coverage of the current weather station system is too wide,...

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Main Authors: Najib, F., Mustika, I. W.
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
Online Access:https://repository.ugm.ac.id/282233/1/Najib_2022_Weather%20Forecasting%20Using%20Artificial%20Neural.pdf
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author Najib, F.
Mustika, I. W.
author_facet Najib, F.
Mustika, I. W.
author_sort Najib, F.
collection UGM
description Extreme climate change results in unpredictable weather patterns. This problem brings an impact particularly for rice farmers. Weather prediction system can help farmers to make the right decisions before weather changes occur. However, the coverage of the current weather station system is too wide, resulting in low accuracy and effectiveness of weather forecasts. Therefore, a local weather prediction system based on the Internet of Things (IoT) has been developed. With the help of machine learning (Artificial Neural Network algorithm), this system can predict the weather in the next three days. This will help farmers in making the right decisions in dealing with their rice field problems. The ANN model with 40 training cycles and 7 hidden layers is the best combination in producing accurate weather predictions. © Published under licence by IOP Publishing Ltd.
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spelling oai:generic.eprints.org:2822332023-11-28T02:20:33Z https://repository.ugm.ac.id/282233/ Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village Najib, F. Mustika, I. W. Electrical and Electronic Engineering not elsewhere classified Electrical and Electronic Engineering Engineering Extreme climate change results in unpredictable weather patterns. This problem brings an impact particularly for rice farmers. Weather prediction system can help farmers to make the right decisions before weather changes occur. However, the coverage of the current weather station system is too wide, resulting in low accuracy and effectiveness of weather forecasts. Therefore, a local weather prediction system based on the Internet of Things (IoT) has been developed. With the help of machine learning (Artificial Neural Network algorithm), this system can predict the weather in the next three days. This will help farmers in making the right decisions in dealing with their rice field problems. The ANN model with 40 training cycles and 7 hidden layers is the best combination in producing accurate weather predictions. © Published under licence by IOP Publishing Ltd. 2022 Conference or Workshop Item PeerReviewed application/pdf en https://repository.ugm.ac.id/282233/1/Najib_2022_Weather%20Forecasting%20Using%20Artificial%20Neural.pdf Najib, F. and Mustika, I. W. (2022) Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village. In: International Conference of Environmental Law, Applied Sciences, and Technology, ICOFLAST 2021. https://iopscience.iop.org/article/10.1088/1755-1315/1030/1/012002
spellingShingle Electrical and Electronic Engineering not elsewhere classified
Electrical and Electronic Engineering
Engineering
Najib, F.
Mustika, I. W.
Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village
title Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village
title_full Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village
title_fullStr Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village
title_full_unstemmed Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village
title_short Weather Forecasting Using Artificial Neural Network for Rice Farming in Delanggu Village
title_sort weather forecasting using artificial neural network for rice farming in delanggu village
topic Electrical and Electronic Engineering not elsewhere classified
Electrical and Electronic Engineering
Engineering
url https://repository.ugm.ac.id/282233/1/Najib_2022_Weather%20Forecasting%20Using%20Artificial%20Neural.pdf
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