An application review on internet of things and machine learning based smart agriculture

Smart farming is an approach to governance which concentrates on equipping the farming sector with the necessary tools to employ cutting-edge technologies such as big data, the internet of things (IoT), and the use of cloud computing for observing, tracking, computerized, and evaluating processes. I...

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Bibliographic Details
Main Authors: Lavanya, G., Vignesh, S., Sundaramurthy, K., Sivakumar, S.
Format: Conference Proceeding
Language:English
Subjects:
Agricultural equipment
Agriculture
Automatic control
Cloud computing
Corporate learning
Cutting tools
Farming
Internet of Things
Machine learning
Machinery condition monitoring
Online Access:Get full text
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Summary:Smart farming is an approach to governance which concentrates on equipping the farming sector with the necessary tools to employ cutting-edge technologies such as big data, the internet of things (IoT), and the use of cloud computing for observing, tracking, computerized, and evaluating processes. IoT intelligent farming technologies use cameras and automated monitoring and control systems to aid in farming field monitoring. As a result, farmers and associated companies may easily track field conditions virtually anywhere. Machine Learning (ML) approaches are widely accepted as viable replacements and supplements to commonly used modelling strategies in agriculture and other associated sectors. Machine learning may help agriculture at every level, including handling soils, identification of illnesses, crop oversight, livestock administration, and furthermore. This review paper summarizes the importance on smart agriculture, components involved in the IoT, ML based smart agriculture and its recent trends.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0229360