Precision forecasting of fertilizer components’ concentrations in mixed variable-rate fertigation through machine learning-Reference-Cited by-同舟云学术

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Precision forecasting of fertilizer components’ concentrations in mixed variable-rate fertigation through machine learning

Published:2024-06 Issue: Volume:298 Page:108859
ISSN:0378-3774
Container-title:Agricultural Water Management
language:en
Short-container-title:Agricultural Water Management

Author:

Wu Menglong,Xiong Jiajie,Li Ruoyu,Dong Aihong,Lv Chang,Sun Dan,Abdelghany Ahmed Elsayed,Zhang Qian,Wang Yaqiong,Siddique Kadambot H.M.,Niu Wenquan

Publisher

Elsevier BV

Reference55 articles.

1. Prediction of nickel concentration in peri-urban and urban soils using hybridized empirical bayesian kriging and support vector machine regression;Agyeman;Sci. Rep.,2022

2. Predictive modelling for solar thermal energy systems: a comparison of support vector regression, random forest, extra trees and regression trees;Ahmad;J. Clean. Prod.,2018

3. Akaike’s information criterion;Akaike;Int. Encycl. Stat. Sci.,2011

4. Determinants of nitrogen use efficiency and gaseous emissions assessed from farm survey: a case of wheat in Bangladesh;Anik;Agric. Syst.,2023

5. Machine learning in agriculture: a comprehensive updated review;Benos;Sensors,2021

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