Ensemble regression based Extra Tree Regressor for hybrid crop yield prediction system-Reference-Cited by-同舟云学术

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Ensemble regression based Extra Tree Regressor for hybrid crop yield prediction system

Published:2024-10 Issue: Volume:35 Page:101277
ISSN:2665-9174
Container-title:Measurement: Sensors
language:en
Short-container-title:Measurement: Sensors

Author:

Sudhamathi T.,Perumal K.

Publisher

Elsevier BV

Reference17 articles.

1. A hybrid approach for crop yield prediction using machine learning and deep learning algorithms;Agarwal;J. Phys. Conf.,2021

2. A comparison between major artificial intelligence models for crop yield prediction: case study of the midwestern United States, 2006–2015;Kim;ISPRS Int. J. Geo-Inf.,2019

3. Design of an integrated climatic assessment indicator (ICAI) for wheat production: a case study in Jiangsu Province, China;Xu;Ecol. Indicat.,2019

4. A hybrid approach to tea crop yield prediction using simulation models and machine learning;Batool;Plants,2022

5. Improving the forecasting of winter wheat yields in northern China with machine learning–dynamical hybrid subseasonal-to-seasonal ensemble prediction;Cao;Rem. Sens.,2022

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