Author: john bunker
Publisher:
ISBN: 9780578507552
Category :
Languages : en
Pages :

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Book Description
A guide to tracking down, identifying and preserving rare apples.

Author: Joanna Crosby
Publisher: Bloomsbury Publishing
ISBN: 1350378496
Category : History
Languages : en
Pages : 241

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Book Description
Showing how the history of the apple goes far beyond the orchard and into the social, cultural and technological developments of Britain and the USA, this book takes an interdisciplinary approach to reveal the importance of the apple as a symbol of both tradition and innovation. From the 18th century in Britain, technology innovation in fruit production and orchard management resulted in new varieties of apples being cultivated and consumed, while the orchard became a representation of stability. In America orchards were contested spaces, as planting seedling apple trees allowed settlers to lay a claim to land. In this book Joanna Crosby explores how apples and orchards have reflected the social, economic and cultural landscape of their times. From the association between English apples and 'English' virtues of plain speaking, hard work and resultant high-quality produce, to practices of wassailing highlighting the effects of urbanisation and the decline of country ways and customs, Apples and Orchards from the Eighteenth Century shows how this everyday fruit provides rich insights into a time of significant social change.

Author: Yande Liu
Publisher: Springer Nature
ISBN: 981977778X
Category :
Languages : en
Pages : 173

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Book Description

Author: Fuchun Sun
Publisher: Springer Nature
ISBN: 9819927897
Category : Computers
Languages : en
Pages : 390

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Book Description
This volume constitutes selected papers presented during the First International Conference on Cognitive Computation and Systems, ICCCS 2022, held in Beijing, China, in October 2022. The 31 papers were thoroughly reviewed and selected from the 75 submissions. The papers are organized in topical sections on ​computer vision; decision making and cognitive computation; robot and autonomous vehicle.

Author: Wanneng Yang
Publisher: Frontiers Media SA
ISBN: 2889717542
Category : Science
Languages : en
Pages : 267

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Book Description

Author: Devrim Unay
Publisher: Presses univ. de Louvain
ISBN: 9782874630415
Category : Computers
Languages : en
Pages : 148

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Book Description
In this book we address the problem of quality inspection of agricultural produce, more specifically apple fruits, based on multispectral image analysis. Following a divide-and-conquer strategy, the problem is divided into the subtasks of stem and ca

Author: Geza Bujdoso
Publisher: Frontiers Media SA
ISBN: 2832551483
Category : Science
Languages : en
Pages : 141

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Book Description
The fruit production industry has been facing many challenges recently. For example, climate change, the introduction of new fruit-bearing species into production, traits of novel-bred fruit cultivars, innovations in orchard systems, rootstock/scion interactions, effects of fruit-growing technology and growing systems on yield, growing systems on yield, the appearance of new pathogens and pests, as well as birds and mammals in orchards, organic production, fruit quality and compounds, regulatory framework, high labour input, etc. Farmers need to have more up-to-date information and answers regarding these challenges. Modern fruit production is based on an adequate fruit-growing system, supported by many elements that complete this production.

Author: Prasant Kumar Pattnaik
Publisher: Springer Nature
ISBN: 9811579903
Category : Technology & Engineering
Languages : en
Pages : 376

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Book Description
This book presents high-quality research papers presented at the International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2020) held during July 7–8, 2020, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea. The book includes selected works from academics and industrial experts in the field of computer science, information technology, and electronics and telecommunication. The content addresses challenges of cyber security.

Author: M Edwards
Publisher: Elsevier
ISBN: 1855738392
Category : Technology & Engineering
Languages : en
Pages : 329

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Book Description
Foreign bodies are the biggest single source of customer complaints for many food manufacturers, retailers and enforcement authorities. Foreign bodies are any undesirable solid objects in food and range from items entirely unconnected with the food such as glass or metal fragments to those related to the food such as bones or fruit stalks. Detecting foreign bodies in food discusses ways of preventing and managing incidents involving foreign bodies and reviews the range of current methods available for the detection and control of foreign bodies, together with a number of new and developing technologies.Part one addresses management issues, with chapters on identifying potential sources of foreign bodies, good manufacturing practice (GMP), the role of the hazard analysis and critical control point (HACCP) system and how best to manage incidents involving foreign bodies. The book also includes a chapter on the laboratory identification of foreign bodies. Part two examines methods for the detection and removal of foreign bodies. There are chapters on existing methods, including metal detection, magnets, optical sorting, X-ray systems and physical separation methods. Other chapters consider research on potential new technologies, including surface penetrating radar, microwave reflectance, nuclear magnetic resonance, electrical impedance and ultrasound.Detecting foreign bodies in food is a standard reference for all those concerned with ensuring the safety of food. - Discusses ways of preventing and managing incidents involving foreign bodies - Reviews the range of technologies available for effective detection and control of foreign bodies

Author: Jucheng Yang
Publisher: Frontiers Media SA
ISBN: 2832550096
Category : Science
Languages : en
Pages : 350

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Book Description
Plant diseases and pests cause significant losses to farmers and threaten food security worldwide. Monitoring the growing conditions of crops and detecting plant diseases is critical for sustainable agriculture. Traditionally, crop inspection has been carried out by people with expert knowledge in the field. However, regarding any activity carried out by humans, this activity is prone to errors, leading to possible incorrect decisions. Innovation is, therefore, an essential fact of modern agriculture. In this context, deep learning has played a key role in solving complicated applications with increasing accuracy over time, and recent interest in this type of technology has prompted its potential application to address complex problems in agriculture, such as plant disease and pest recognition. Although substantial progress has been made in the area, several challenges still remain, especially those that limit systems to operate in real-world scenarios.