Internet of agriculture: Analyzing and predicting tractor ride comfort through supervised machine learning-Reference-Cited by-同舟云学术

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Internet of agriculture: Analyzing and predicting tractor ride comfort through supervised machine learning

Published:2023-10 Issue: Volume:125 Page:106720
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Singh Amandeep,Nawayseh Naser,Singh Harwinder,Dhabi Yash Kumar,Samuel Siby

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference138 articles.

1. Control of driver whole-body vibration ride comfort in agricultural tractor;Abouel-seoud;Agric. Eng. Int.: CIGR J.,2019

2. Knowledge-based and data-driven fuzzy modeling for rockburst prediction;Adoko;Int. J. Rock Mech. Min. Sci.,2013

3. Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research;Agatonovic-Kustrin;J. Pharm. Biomed. Anal.,2000

4. DeepImpact: a deep learning model for whole body vibration control using impact force monitoring;Ali;Neural Comput. Appl.,2021

5. Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network;Almomani;Fuel,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transforming farming with intelligence: Smart vibration monitoring and alert system;Journal of Engineering Research;2023-08

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