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Engineering Science Reference - Image Processing in Agriculture

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Description

Agricultural products present a wide variety of qualitative characteristics that make quality control a complex task in manufacturing. This book explores how non-destructive methods (NDTs) address these challenges to improve production standards. As automation becomes more common in the industry, new technologies offer ways to stay competitive in the global market. Applications of Image Processing and Soft Computing Systems in Agriculture examines the practical use of artificial intelligence within the agricultural sector. It focuses on how advanced computing and image-based systems can be applied to manage the abundance of data found in modern farming and food processing. This text provides a look into the technological shifts that allow for better control and more efficient production processes through new scientific approaches.

Key Features

Explores non-destructive methods (NDTs) used to evaluate the qualitative characteristics of diverse agricultural products.

Examines the role of artificial intelligence and soft computing systems in modern agricultural applications.

Provides insight into how control and automation technologies help maintain quality control during manufacturing.

Discusses how new technological approaches allow for increased production competition in the industry.

Focuses on the application of image processing to manage the variety and abundance of agricultural data.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
22 February 2019
Listed Since
24 February 2020

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