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Springer Computer Vision and Machine Learning in Agriculture Vol 2

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Description

Computer Vision and Machine Learning in Agriculture, Volume 2, serves as an essential extension of the previous volume for researchers, academicians, and professionals. This book focuses on solving complex problems related to agricultural plants and products to increase production through advanced technology. By integrating deep learning tools and techniques with computer vision algorithms, the text provides practical solutions for smart agriculture. The 15 chapters cover a wide range of applications, including the first three chapters which focus on crop harvesting, weed detection, and multi-class crop detection. These processes are facilitated by the use of robots and UAVs powered by machine learning and deep learning algorithms.

Key Features

This Springer publication acts as an extension to the previous Computer Vision and Machine Learning in Agriculture book.

The text contains 15 chapters covering advanced machine learning and deep learning tools for agricultural applications.

Learn about crop harvesting and weed detection through the use of robots and UAVs.

Explore multi-class crop detection techniques designed for smart agriculture environments.

Designed for academicians, researchers, and professionals working to boost production via computer vision algorithms.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 March 2023
Listed Since
21 February 2023

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