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Journal of Agricultural & Food Information最新文献

英文 中文
Editorial 社论
IF 0.4 Q4 AGRONOMY Pub Date : 2020-04-02 DOI: 10.1080/10496505.2020.1744575
Leslie M. Delserone
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引用次数: 0
Grape, Wine, and Raisin Research Grey Literature: A Case Study for Describing and Digitizing a Specialized Commodity Collection 葡萄、葡萄酒和葡萄干研究灰色文献:一个专门商品收藏的描述和数字化案例研究
IF 0.4 Q4 AGRONOMY Pub Date : 2020-03-20 DOI: 10.1080/10496505.2020.1742129
Polly Peralta, B. Foster
Abstract The Viticulture and Enology Research Center at California State University, Fresno, is a current and historic driver of grape and wine research, with much of this research captured in internal reports rather than published articles. This case study details the method by which the V.E. Petrucci Library described and digitized this research grey literature collection. In addition to providing a workflow for other specialized commodity collections, this study discusses challenges encountered, including description of non-standardized documents and intellectual property concerns of grey literature. This case study also presents the value of describing and digitizing such collections for the agricultural community.
摘要弗雷斯诺加利福尼亚州立大学葡萄栽培和酿酒研究中心是葡萄和葡萄酒研究的当前和历史驱动力,这项研究的大部分内容都记录在内部报告中,而不是发表的文章中。本案例研究详细介绍了V.E.Petrucci图书馆描述和数字化这一研究灰色文献集的方法。除了为其他专业商品收藏提供工作流程外,本研究还讨论了遇到的挑战,包括非标准化文件的描述和灰色文献的知识产权问题。本案例研究还展示了对农业社区的此类藏品进行描述和数字化的价值。
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引用次数: 0
Editorial 编辑
IF 0.4 Q4 AGRONOMY Pub Date : 2019-10-02 DOI: 10.1080/10496505.2019.1673922
Leslie M. Delserone
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引用次数: 0
Review of The Book of Barley: Tibetan Barley Tsampa, the Story of an Ancient Food (volumes 1 & 2) 《大麦经·藏大麦赞帕·古食记》(上册、下册)述评
IF 0.4 Q4 AGRONOMY Pub Date : 2019-10-02 DOI: 10.1080/10496505.2019.1673139
E. M. Jackson
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引用次数: 0
Data-Driven Decision Making in Precision Agriculture: The Rise of Big Data in Agricultural Systems 精准农业中的数据驱动决策:农业系统中大数据的兴起
IF 0.4 Q4 AGRONOMY Pub Date : 2019-07-22 DOI: 10.1080/10496505.2019.1638264
Nicoleta Tantalaki, S. Souravlas, M. Roumeliotis
Abstract In this paper, we provide a review of the research dedicated to applications of data science techniques, and especially machine learning techniques, in relevant agricultural systems. Big data technologies create new opportunities for data intensive decision-making. We review works in agriculture that employ the practice of big data analysis to solve various problems, which reveal opportunities and promising areas of use. The high volume and complexity of the data produced pose challenges in successfully implementing precision agriculture. Machine learning seems promising to cope with agricultural big data, but needs to reinvent itself to meet existing challenges.
在本文中,我们提供了一个研究综述,致力于数据科学技术的应用,特别是机器学习技术,在相关农业系统。大数据技术为数据密集型决策创造了新的机会。我们回顾了在农业中使用大数据分析实践来解决各种问题的工作,这些工作揭示了机会和有前景的使用领域。所产生的大量和复杂的数据对成功实施精准农业提出了挑战。机器学习似乎有望应对农业大数据,但需要重塑自我以应对现有挑战。
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引用次数: 86
Review of Illustrated History of Apples in the United States and Canada 美国和加拿大苹果图解历史回顾
IF 0.4 Q4 AGRONOMY Pub Date : 2019-07-08 DOI: 10.1080/10496505.2019.1618338
Suzi Teghtmeyer
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引用次数: 0
Urgenci: International Network of Community Supported Agriculture (urgenci.net) 国际社区支持农业网络(urgenci.net)
IF 0.4 Q4 AGRONOMY Pub Date : 2019-06-27 DOI: 10.1080/10496505.2019.1630788
S. Stapleton
The United Nations launched the Decade of Family Farming (2019–2028) in recognition of the central importance of family farming to world food security; over 90% of the world’s farms are family-operated (United Nations General Assembly, 2018). Yet today, family farms throughout the world struggle to maintain solvency. The farm share of the average dollar a consumer spends on food is at all-time lows, 14.6% in 2017 in the United States and 21% in the European Union in 2011 (De Schutter, 2019; U.S. Department of Agriculture [USDA] Economic Research Service, 2019). At the same time, it is challenging for consumers in many areas to obtain high quality food, with limited food access in some areas, described as food deserts. Innovative strategies to connect family farmers with local consumers are addressing these needs. Community supported agriculture (CSA) is one strategy that is growing across the globe; it is the “only model of farming in which consumers deliberately agree to share the risks and benefits with farmers” (Urgenci, n.d.i). Founded by farmers in 2006, Urgenci: International Network of Community Supported Agriculture (urgenci.net) advocates for this innovative approach to support family farms and local food sovereignty.
联合国启动了家庭农业十年(2019-2028),以认识到家庭农业对世界粮食安全的核心重要性;世界上90%以上的农场是家庭经营的(联合国大会,2018年)。然而今天,世界各地的家庭农场都在努力维持偿付能力。消费者在食品上花费的平均美元中,农业所占的份额处于历史最低水平,2017年美国为14.6%,2011年欧盟为21% (De Schutter, 2019;美国农业部(USDA)经济研究处,2019)。与此同时,许多地区的消费者很难获得高质量的食品,一些地区的食品供应有限,被称为食品沙漠。将家庭农民与当地消费者联系起来的创新战略正在满足这些需求。社区支持农业(CSA)是一种正在全球发展的战略;它是“唯一一种消费者有意同意与农民分享风险和利益的农业模式”(Urgenci, n.d.i)。由农民于2006年创建的“社区支持农业国际网络”(urgenci.net)倡导采用这种创新方法来支持家庭农场和地方粮食主权。
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引用次数: 2
Methodology for Creating an Information Tool for Animal Food Facilities 为动物食品设施创建信息工具的方法
IF 0.4 Q4 AGRONOMY Pub Date : 2019-05-30 DOI: 10.1080/10496505.2019.1618314
J. Evanson, Catherine Y. Alexander, F. Sampedro, Timothy C. Boyer, A. Nault, T. Goldsmith
Abstract The U.S. Food Safety Modernization Act, administered by the Food and Drug Administration (FDA), requires animal feed and pet food facilities to conduct a hazard analysis by identifying and evaluating potential hazards in animal food. This paper describes the creation of an information tool designed to help animal food facilities comply with this requirement. A thorough search of the scientific literature and FDA recall data identified the occurrence of hazards in animal food, assessed the severity of the hazards, and provided a scoring system useful for the identification and prioritization of specific animal food-hazard-species combinations.
摘要由美国食品药品监督管理局(FDA)管理的《美国食品安全现代化法案》要求动物饲料和宠物食品设施通过识别和评估动物食品中的潜在危害进行危害分析。本文介绍了一种信息工具的创建,旨在帮助动物食品设施满足这一要求。通过对科学文献和美国食品药品监督管理局召回数据的彻底搜索,确定了动物食品中危险的发生情况,评估了危险的严重程度,并提供了一个评分系统,可用于识别特定动物食品危险物种组合并确定其优先级。
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引用次数: 0
Information Use Behavior of Decision-Makers for Food Security in the English-Speaking Caribbean: A Study of Trinidad and Tobago, Belize, and Barbados 加勒比英语区粮食安全决策者的信息使用行为——对特立尼达和多巴哥、伯利兹和巴巴多斯的研究
IF 0.4 Q4 AGRONOMY Pub Date : 2019-05-29 DOI: 10.1080/10496505.2019.1620110
S. Renwick
Abstract Information required by food security decision-makers is multidisciplinary and must be timely and accurate. A survey conducted in three Caribbean countries determined that e-resources are highly important; print, frequently used; and e-mail, used daily. There is a distrust of social media, and problems accessing reliable, local, up-to-date information. Some interviewees (33.3%) evaluated online resources and 95.0% consider access to food and agricultural information professionals an asset. Though 84.3% rated themselves as competent or better at finding information, 89.3% would attend information literacy training. The results reveal the need for improved information management systems and understanding of the workplace information environment.
摘要粮食安全决策者需要的信息是多学科的,必须及时准确。在三个加勒比国家进行的一项调查确定,电子资源非常重要;印刷品,经常使用;和电子邮件,每天使用。人们对社交媒体不信任,在获取可靠、本地、最新信息方面也存在问题。一些受访者(33.3%)评估了在线资源,95.0%的人认为接触食品和农业信息专业人员是一种资产。尽管84.3%的人认为自己有能力或更善于发现信息,但89.3%的人会参加信息素养培训。研究结果表明,需要改进信息管理系统,并了解工作场所的信息环境。
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引用次数: 1
Review of vegetarian nutrition and wellness 素食营养与健康综述
IF 0.4 Q4 AGRONOMY Pub Date : 2019-05-27 DOI: 10.1080/10496505.2019.1618228
A. Kay
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引用次数: 0
期刊
Journal of Agricultural & Food Information
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