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Machine Learning for Nutrient Management by riponcse is a document available to read on EtoBox.

What is Machine Learning for Nutrient Management about?

This article reviews machine learning techniques for nutrient management in agriculture. It discusses key machine learning algorithms, features, and performance metrics used. It then examines systems for nitrogen, NPK, and fertilizer management that have utilized machine learning approaches in recent decades. The research finds that machine learning and advanced sensors can provide cost-effective nutrient assessment and decision-making solutions to improve agricultural productivity, but challenges remain th

Author

riponcse

Language

EN