A Low-Complexity Machine Learning Nitrate Loss Predictive Model–Towards Proactive Farm Management in a Networked Catchment

A Low-Complexity Machine Learning Nitrate Loss Predictive Model–Towards Proactive Farm Management in a Networked Catchment

With the advent of wireless sensor networks, the ability to predict nutrient-rich discharges, using on-node prediction models, offers huge potential for enabling real-time water reuse and management within an agriculturally dominated catchment. Existing discharge models use multiple parameters and l...

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Bibliographic Details
Main Authors: Huma Zia, Nick R. Harris, Geoff V. Merrett, Mark Rivers
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Environmental modeling
nitrate loss prediction modeling
machine learning
M5 decision tree
wireless sensor networks
water quality management
Online Access:https://ieeexplore.ieee.org/document/8649631/

Internet

https://ieeexplore.ieee.org/document/8649631/

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