Work

Supplementary Materials and Model Implementation for the Concept of a modular wide-area predictive irrigation system article

Year: 2025

Type: supplementary-materials

Abstract: This archive contains the supplementary methods, model training code, dataset, and reproducibility materials for the "Concept of a modular wide-area predictive irrigation system" article. The repository includes the full sliding-window dataset, Python training scripts (XGBoost 24-hour soil moisture forecasting model), hyperparameter configurations, metrics, and supporting documentation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17845721

Authors: Dimitrov, Kristiyan, Chivarov, Nayden, Chivarov, Stefan

Institution: Institute of Information and Communication Technologies

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W7110042910

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