“Machine Learning Based Crop Yield Prediction Using Environmental and Soil Data”

Author(s)	Mr. VIKAS KUMAR N, Mr. SAMYAM C HIREMATH, Mr. SOHAM C HIREMATH, Mr. SUJAL GUMME, Prof. HIDAM RAMESHWAR
Country	India
Abstract	This research focuses on predicting crop yield using machine learning techniques based on environmental and soil parameters. The model utilizes factors such as temperature, rainfall, humidity, and soil nutrients to provide accurate crop predictions. By analyzing historical agricultural data, the system helps farmers make informed decisions to improve productivity and reduce risks. The proposed solution aims to support sustainable agriculture and enhance efficiency through data-driven insights.
Keywords	Crop Prediction, Machine Learning, Agriculture, Yield Prediction, Soil Analysis, AI in Agriculture, Data Science
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 8, Issue 2, March-April 2026
Published On	2026-03-21

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