Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies

Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies

High-frequency monitoring of agrometeorological parameters is quintessential in the domain of Precision Agriculture (PA), where timeliness of collected observations and the ability to generate ahead-of-time predictions can substantially impact the crop yield. In this context, state-of-the-art intern...

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Bibliographic Details
Main Authors: Saurabh Suradhaniwar, Soumyashree Kar, Surya S. Durbha, Adinarayana Jagarlapudi
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Sensors
Subjects:
precision agriculture
time series forecasting
multi-step ahead forecasting
internet-of-things (IoT)
seasonal auto-regressive models
support vector machines
Online Access:https://www.mdpi.com/1424-8220/21/7/2430

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https://www.mdpi.com/1424-8220/21/7/2430

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