Using Neural Networks for Sustainable Land Use Prediction in Sumbawa Regency, Indonesia

Using Neural Networks for Sustainable Land Use Prediction in Sumbawa Regency, Indonesia

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Agriculture is vital to Sumbawa Regency's economy, with key activities such as rice cultivation, corn production, onion farming, and cattle rearing. This study applies artificial neural networks (ANN) to predict land cover changes, focusing on agricultural land expansion. Using land cover data...

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Bibliographic Details
Main Authors: Muhammad Ramdhan, Rudhy Akhwady, Taslim Arifin, Dini Purbani, Yulius, Dino G. Pryambodo, Rinny Rahmania, Olivia Maftukhaturrizqoh, Abdul Asyiri, Syamsul Hidayat, Arya Ningsih, Sadad
Format: Article
Language:English
Published: Environmental Research Institute, Chulalongkorn University 2024-09-01
Series:Applied Environmental Research
Subjects:
Artificial neural network
Land cover change
Sumbawa regency
Sustainable land management
MOLUSCE
Online Access:https://ph01.tci-thaijo.org/index.php/saujournalst/www.tci-thaijo.org/index.php/aer/article/view/257766

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https://ph01.tci-thaijo.org/index.php/saujournalst/www.tci-thaijo.org/index.php/aer/article/view/257766

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