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A Study on Various Applications of IoT Using Machine Learning
Subject area: Science,Engineering and Technology · Area of research: Machine Learning
Abstract
The Internet of Things (IoT) advancement has transformed each piece of everyday presence by making everything more canny. Among the immense extent of IoT applications, IoT based canny agribusiness has enraptured various investigators and has used Machine Learning (ML) besides, IOT headways to lead creative explores. IoT based data driven farm the board strategies can help increase agricultural yields by orchestrating input costs, lessening disasters, and using resources even more capably. The IoT makes huge aggregate data with different characteristics taking into account region and time. To move along productivity of agribusiness through sharp estate the board, the data separating ought to be by and large around analyzed furthermore, dealt with. Tip top execution adding limit up ML opens up new entryways for data raised science as how much data assembled fabricates; ML computations could be applied to extra redesign application information and helpfulness. In this article we review existing systems have been made to the splendid agribusiness and developing considering IoT and ML freely. Furthermore, we propose clever thoughts that how should ML-IoT can be blended in such applications.
Keywords
Internet of Things (IoT), Machine Learning (ML), Artificial intelligence in IoT (MLIoT).
How to cite this paper
@article{1703372,
author = {Dr. Praveen Kumar Reddy, Dr. Rajanna G S},
title = {A Study on Various Applications of IoT Using Machine Learning},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {5},
number = {8},
pages = {334-337},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703372.pdf},
abstract = {The Internet of Things (IoT) advancement has transformed each piece of everyday presence by making everything more canny. Among the immense extent of IoT applications, IoT based canny agribusiness has enraptured various investigators and has used Machine Learning (ML) besides, IOT headways to lead creative explores. IoT based data driven farm the board strategies can help increase agricultural yields by orchestrating input costs, lessening disasters, and using resources even more capably. The IoT makes huge aggregate data with different characteristics taking into account region and time. To move along productivity of agribusiness through sharp estate the board, the data separating ought to be by and large around analyzed furthermore, dealt with. Tip top execution adding limit up ML opens up new entryways for data raised science as how much data assembled fabricates; ML computations could be applied to extra redesign application information and helpfulness. In this article we review existing systems have been made to the splendid agribusiness and developing considering IoT and ML freely. Furthermore, we propose clever thoughts that how should ML-IoT can be blended in such applications.},
keywords = {Internet of Things (IoT), Machine Learning (ML), Artificial intelligence in IoT (MLIoT).},
month = {February},
}