£121.51

Springer - Deep Learning for Agricultural Visual Perception

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Description

Explore the intersection of artificial intelligence and agriculture with Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection. Published by Springer, this book focuses on the application of deep learning technologies to solve real-world problems in crop monitoring and plant health management. As modern farming relies more on automated systems, understanding how visual perception works through machine learning becomes essential. This text addresses the specific challenges of identifying pests and diseases in various crops using advanced computational methods. It serves as a specialized resource for those studying computer science, AI, and machine learning within the context of agricultural technology. Whether you are a researcher, student, or professional in the field of computer science, this book provides a focused look at how deep learning models can be applied to agricultural datasets. By studying these methodologies, readers can better understand the development of automated tools designed to protect crop yields and improve food security through better detection accuracy.

Key Features

Focuses on deep learning applications specifically for agricultural visual perception and crop monitoring.

Covers methods for the detection of various crop pests and plant diseases using machine learning.

Published by Springer, a recognized leader in academic and professional technical literature.

Provides technical knowledge relevant to the fields of artificial intelligence and computer science.

Addresses real-world challenges in agricultural technology through the lens of advanced computing.

Product Specifications

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

Barcode

No barcode data available

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