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

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 datasets...

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Hlavní autoři: Muhammad Ramdhan, Rudhy Akhwady, Taslim Arifin, Dini Purbani, Yulius, Dino G. Pryambodo, Rinny Rahmania, Olivia Maftukhaturrizqoh, Abdul Asyiri, Syamsul Hidayat, Arya Ningsih, Sadad
Médium: Artigo
Jazyk:Inglês
Vydáno: Environmental Research Institute, Chulalongkorn University 2024-09-01
Edice:Applied Environmental Research
Témata:
Artificial neural network
Land cover change
Sumbawa regency
Sustainable land management
MOLUSCE
On-line přístup:https://ph01.tci-thaijo.org/index.php/aer/article/view/257766
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