£88.36

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£88 today · all-time low £88 (Jul 2026) · usually £88

Springer Deep Learning for Agricultural Visual Perception - Crop Pest Detection

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Description

Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection is a comprehensive guide published by Springer that explores the application of deep learning technologies to solve critical challenges in modern agriculture. This specialist text combines theoretical foundations with practical implementations, addressing how artificial intelligence and computer vision can be leveraged to identify crop pests and diseases with precision and speed. The book bridges the gap between machine learning research and agricultural practice, offering insights into neural network architectures, image processing techniques, and real-world deployment strategies. Ideal for researchers, agricultural technologists, and professionals seeking to understand how deep learning transforms pest and disease management in crop production, this publication provides both foundational knowledge and advanced methodologies for implementing visual perception systems in farming operations.

Key Features

Springer publication covering deep learning methods specifically designed for detecting crop pests and diseases in agricultural settings.

Comprehensive exploration of computer vision techniques and neural network architectures applied to agricultural visual perception systems.

Practical guidance on implementing deep learning solutions for real-world pest and disease identification in crop management.

Bridges theoretical AI and machine learning concepts with hands-on agricultural applications and case studies.

Resource for researchers, agricultural professionals, and technologists developing automated crop health monitoring systems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 September 2023
Listed Since
23 June 2023

Barcode

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