Apples and Orchards since the Eighteenth Century

Apples and Orchards since the Eighteenth Century
Author: Joanna Crosby
Publisher: Bloomsbury Publishing
Total Pages: 241
Release: 2023-11-16
Genre: History
ISBN: 1350378496

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
Total Pages: 390
Release: 2023-05-23
Genre: Computers
ISBN: 9819927897

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
Total Pages: 141
Release: 2024-07-08
Genre: Science
ISBN: 2832551483

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.

Detecting Foreign Bodies in Food

Detecting Foreign Bodies in Food
Author: M Edwards
Publisher: Elsevier
Total Pages: 329
Release: 2004-04-22
Genre: Technology & Engineering
ISBN: 1855738392

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

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
Total Pages: 376
Release: 2020-11-27
Genre: Technology & Engineering
ISBN: 9811579903

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
Total Pages: 350
Release: 2024-06-06
Genre: Science
ISBN: 2832550096

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.