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2021 | OriginalPaper | Buchkapitel

Precision Agriculture Using Advanced Technology of IoT, Unmanned Aerial Vehicle, Augmented Reality, and Machine Learning

verfasst von : Vijayakumar Ponnusamy, Sowmya Natarajan

Erschienen in: Smart Sensors for Industrial Internet of Things

Verlag: Springer International Publishing

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Abstract

Agriculture is one of the primary processes for quality food production in the globe. Unfortunately, the productivity of agriculture is very low, and many factors affect the yield level of it. Precision agriculture (PA) is one of the solutions for the above problem. PA uses site-specific crop management concept based on measured data using sensors and data analytics to find the root cause of yield reduction. Precision agriculture automates farming which involves the collection of data and analysis of them for better decision-making to gain high yield and quality of the agricultural product. The agriculture system integrated with data analytics and machine learning is called as smart farming or smart agriculture The goal of smart agriculture is to develop a decision-making support system for farming management. The precision smart agriculture can be enhanced with the help of latest technologies of Internet of Technology (IoT), unmanned aerial vehicle (UAV), augmented reality (AR) system, and machine learning (ML) algorithms. This chapter focuses on the illustration and utilization of those advanced technologies for smart farming.

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Titel: Precision Agriculture Using Advanced Technology of IoT, Unmanned Aerial Vehicle, Augmented Reality, and Machine Learning
verfasst von: Vijayakumar Ponnusamy
Sowmya Natarajan
Verlag: Springer International Publishing
Buch: Smart Sensors for Industrial Internet of Things
Print ISBN: 978-3-030-52623-8

Electronic ISBN: 978-3-030-52624-5

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-52624-5_14

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