Prediction of Sulfur Content in Copra Using Machine Learning Algorithm
Author:
Affiliation:
1. Department of ECE, Bannari Amman Institute of Technology, Sathyamangalam, India
2. Department of EIE, Kongu Engineering College, Erode, India
3. Department of Ece, Centre for Nano Electronics & VLSI Design, VIT University, Chennai, India
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2021.1997214
Reference27 articles.
1. Automatic quality evaluation of fruits using Probabilistic Neural Network approach
2. Deep Learning Models for the Prediction of Rainfall
3. DeepAirNet: Applying Recurrent Networks for Air Quality Prediction
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1. Predictive Analysis Using Modified Inception Net and Support Vector Machine for Forecasting Copra Yield in Agriculture;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26
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4. Performance Enhancement & Prediction of Solar Air Heater with Quatrefoil Shaped Artificial Roughness Using Adaptive Neuro Fuzzy Inference System;2022 International Conference on Edge Computing and Applications (ICECAA);2022-10-13
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