IoT Based Real Time Crop Recommendation System Using Random Forest Classifier

Agriculture continues to be a pillar of worldwide food security and economic stability but farmers often face challenges making an appropriate crop selection as environmental conditions constantly shift. This research presents an adaptive crop suggestion system that combines IoT-based field sensors...

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Veröffentlicht in:	2025 International Conference on Networks & Advances in Computational Technologies (NetACT) S. 1 - 6
Hauptverfasser:	Kannan, Anjana, Tony, Aneena Edakkalathur, Vinoj, Ansen, Faimon, Siyona, Moozhippurath, Bineesh, Mohandas, Arjun Kizhupadath
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 07.08.2025
Schlagworte:	Agriculture Yields Crop Recommendation Crops Feeds Humidity Machine Learning Predictive models Random Forest Random forests Real-time systems Recommender systems Sensor systems Soil Soil Behavior Analysis Temperature sensors
Online-Zugang:	Volltext
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