Apples and Orchards since the Eighteenth Century

Apples and Orchards since the Eighteenth Century

Author: Joanna Crosby

Publisher: Bloomsbury Publishing

Published: 2023-11-16

Total Pages: 241

ISBN-13: 1350378496

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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.


Cognitive Computation and Systems

Cognitive Computation and Systems

Author: Fuchun Sun

Publisher: Springer Nature

Published: 2023-05-23

Total Pages: 390

ISBN-13: 9819927897

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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.


Advances in Fruit-Growing Systems as a Key Factor of Successful Production

Advances in Fruit-Growing Systems as a Key Factor of Successful Production

Author: Geza Bujdoso

Publisher: Frontiers Media SA

Published: 2024-07-08

Total Pages: 141

ISBN-13: 2832551483

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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.


Proceedings of International Conference on Smart Computing and Cyber Security

Proceedings of International Conference on Smart Computing and Cyber Security

Author: Prasant Kumar Pattnaik

Publisher: Springer Nature

Published: 2020-11-27

Total Pages: 376

ISBN-13: 9811579903

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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.


Advanced AI Methods for Plant Disease and Pest Recognition

Advanced AI Methods for Plant Disease and Pest Recognition

Author: Jucheng Yang

Publisher: Frontiers Media SA

Published: 2024-06-06

Total Pages: 350

ISBN-13: 2832550096

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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.