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Springer Computer Vision and Machine Learning in Agriculture Vol 3

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Description

Expand your technical knowledge with Volume 3 of the Computer Vision and Machine Learning in Agriculture series from Springer. This volume provides advanced solutions for agricultural production by applying deep learning tools and machine learning techniques to real-world challenges. Spanning 13 chapters, the text covers in-depth research in precision agriculture, crop farming, and horticulture. It offers detailed insights into vertical farming, animal husbandry, and plant recognition. Readers can explore specialized topics including disease detection, production yield, and product quality assessment. This volume also addresses the implementation of automation through the use of robots and drones to improve efficiency in modern farming environments.

Key Features

This third volume in the series by Springer focuses on advanced machine learning and deep learning tools for agricultural production.

The text contains 13 chapters detailing research in precision agriculture, crop farming, horticulture, and floriculture.

Learn about specialized applications in vertical farming, animal husbandry, and plant recognition technologies.

Explore methods for disease detection, production yield analysis, and product quality and defect assessment.

Study the role of automation in agriculture through the integration of robots and drones.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
02 August 2024
Listed Since
03 August 2024

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