Resource-Constrained and Time-Aware Reinforcement Learning Framework for Sustainable Fertilization Strategies

Achieving sustainable fertilization is critical for balancing crop productivity with environmental stewardship and resource efficiency. However, conventional fertilization methods rely on fixed schedules and generalized routines, resulting in inefficient nitrogen use and environmental risks owing to...

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Veröffentlicht in:	Journal of advanced computational intelligence and intelligent informatics Jg. 29; H. 6; S. 1342 - 1357
Hauptverfasser:	Alkaff, Muhammad, Basuhail, Abdullah, Sari, Yuslena, Jambi, Kamal
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Tokyo Fuji Technology Press Co. Ltd 20.11.2025
Schlagworte:	Constraints Crop growth Crop yield Efficiency Fertilization Grain Nitrogen Optimization Productivity Real time Soil conditions
ISSN:	1343-0130, 1883-8014
Online-Zugang:	Volltext
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