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Agricultural Informatics : Automation Using the Iot and Machine Learning, Har...

Description: Agricultural Informatics : Automation Using the Iot and Machine Learning, Hardcover by Choudhury, Amitava (EDT); Biswas, Arindam (EDT); Prateek, Manish (EDT); Chakraborty, Amlan (EDT), ISBN 1119768845, ISBN-13 9781119768845, Like New Used, Free P&P in the UK "The emergence of automation in agriculture has become an important issue for every country. The world population is increasing at a very fast rate, and along with this increase in population the need for food is also increasing at a brisk pace. Traditional methods used by farmers are no longer sufficient to serve this increasing demand, resulting in the intensified use of harmful pesticides. This in turn has had a profound effect on agricultural practices, which in the end can render the land barren. This book discusses the different automation practices, including the internet of things (IoT), wireless communications, machine learning, artificial intelligence, and deep learning, currently being employed to address this problem. There are some areas of concern in the field of agriculture, such as crop disease, lack of storage, weed and water management, pesticide control, and lack of irrigation, all of which can be solved using the different techniques mentioned above"--

Price: 129.97 GBP

Location: Castle Donington

End Time: 2024-12-19T21:41:00.000Z

Shipping Cost: 19.98 GBP

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Agricultural Informatics : Automation Using the Iot and Machine Learning, Har...

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Book Title: Agricultural Informatics : Automation Using the Iot and Machine L

Number of Pages: 304 Pages

Language: English

Publication Name: Agricultural Informatics: Automation Using the Iot and Machine Learning

Publisher: John Wiley & Sons INC International Concepts

Publication Year: 2021

Subject: Computer Science

Item Height: 237 mm

Item Weight: 556 g

Type: Textbook

Author: Amlan Chakrabarti, Arindam Biswas, Amitava Choudhury, Manish Prateek

Subject Area: Natural Science

Series: Advances in Learning Analytics for Intelligent Cloud-Iot Systems

Item Width: 158 mm

Format: Hardcover

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