Innovation in Crop Nutrition Planning Based on Rainfall Prediction Using Singular Spectrum Analysis and Boosting to Optimize Agricultural Management

The high variability of rainfall in tropical climates presents a major challenge for agricultural management, as weather uncertainty often leads to inefficient fertilization practices due to nutrient loss. This study aims to develop a robust framework for rainfall prediction, which can inform a flex...

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Detalhes bibliográficos

Principais autores:	Yuslena Sari, Mambang Mambang, Muhammad Zulfadhilah, Subhan Panji Cipta, Muhammad Nursandi, Finki Dona Marleny, Ricardus Anggi Pramunendar, Sunardi Sunardi, Eka Setya Wijaya, Aurelia Monica Sari, Muhammad Alkaff
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2026-06-01
coleção:	Journal of Applied Engineering and Technological Science
Assuntos:	LightGBM Prediction Rainfall Singular Spectrum Analysis XGBoost
Acesso em linha:	https://journal.yrpipku.com/index.php/jaets/article/view/7314
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