Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/2815
Title: | An Empirical Study on Paddy Harvest and Rice Demand Prediction for an Optimal Distribution Plan |
Authors: | Rankothge, W. H |
Keywords: | Empirical Study Paddy Harvest Rice Demand Prediction Optimal Distribution Distribution Plan |
Issue Date: | 4-Mar-2022 |
Publisher: | wiley |
Series/Report no.: | Machine Learning Paradigm for Internet of Things Applications;chapter 2 |
Abstract: | This book provides the state-of-the-art applications of Machine Learning in IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’ and intelligent transportation systems. Readers will gain an insight into the integration of Machine Learning with IoT in various application domains. |
URI: | http://rda.sliit.lk/handle/123456789/2815 |
ISBN: | 978-1-119-76047-4 |
Appears in Collections: | Book Chapters Chapters |
Files in This Item:
File | Description | Size | Format | |
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Machine Learning Paradigm for Internet of Things Applications 1.pdf Until 2050-12-31 | 3.3 MB | Adobe PDF | View/Open Request a copy |
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