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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Autors principals:	Muhammad Ramdhan, Rudhy Akhwady, Taslim Arifin, Dini Purbani, Yulius, Dino G. Pryambodo, Rinny Rahmania, Olivia Maftukhaturrizqoh, Abdul Asyiri, Syamsul Hidayat, Arya Ningsih, Sadad
Format:	Artigo
Idioma:	Inglês
Publicat:	Environmental Research Institute, Chulalongkorn University 2024-09-01
Col·lecció:	Applied Environmental Research
Matèries:	Artificial neural network Land cover change Sumbawa regency Sustainable land management MOLUSCE
Accés en línia:	https://ph01.tci-thaijo.org/index.php/aer/article/view/257766
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