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信息通信技术如何增强基于证据的决策和从农场到餐桌的牲畜可追溯性。

How Information Communication Technology Can Enhance Evidence-Based Decisions and Farm-to-Fork Animal Traceability for Livestock Farmers.

机构信息

The Nelson Mandela African Institution of Science and Technology, Tengeru, Arusha, Tanzania.

Department of Animal Breeding and Husbandry in the Tropics and Subtropics, University of Hohenheim, Garbenstr.17, 70599 Stuttgart, Germany.

出版信息

ScientificWorldJournal. 2020 Dec 17;2020:1279569. doi: 10.1155/2020/1279569. eCollection 2020.

Abstract

Due to changes in the livestock sector and the rise of consumer demand for comprehensive and integrated food security and safety, there has been a concern on the use of farm data in enhancing animal traceability and decision-making by farmers and other decision-makers in the livestock sector. To ensure high production through effective decision-making and auditable standards, producers are required to have better traceability and record systems. Therefore, this study aimed at (1) reviewing the current recording/data management and animal traceability systems used by small-scale farmers in developing countries and (2) analyzing how data management systems should be designed to enhance efficient decision-making and animal traceability from farm to fork. This study found that, still, a majority of small-scale farmers do not keep records leading to poor decision-making on the farm and policymaking. We also found that those who keep records do not store their data in electronic format, which again poses another challenge in data analysis. Moreover, this study found that the majority of traceability tools used by farmers in developing countries do not meet international standards based on tools they use for tracing animals; farmers were reported to use tools like branding and ear tagging, which provide very little information about the animal. Such tools lack the capability to keep track of useful information about an animal, e.g., information about feeding and animal health. In conclusion, this study recommended a better electronic system to be used at the farm level to facilitate data analysis, hence promoting informed decision-making and adherence to the international animal traceability standards. Otherwise, there is a need for researchers to conduct more studies in developing different analytical models for exploring on-farm data in order to improve the decision-making process by farmers and other stakeholders.

摘要

由于畜牧业的变化和消费者对全面综合的食品安全和保障的需求上升,人们开始关注在增强动物可追溯性和农民及畜牧业其他决策者的决策方面使用农场数据。为了通过有效的决策和可审核的标准确保高产量,生产者需要更好的可追溯性和记录系统。因此,本研究旨在:(1) 审查发展中国家小型农场目前使用的记录/数据管理和动物可追溯性系统;(2) 分析应如何设计数据管理系统,以增强从农场到餐桌的高效决策和动物可追溯性。本研究发现,尽管大多数小型农场不保留记录,导致农场决策和决策制定不善。我们还发现,那些保留记录的人并没有将其数据以电子格式存储,这在数据分析方面又构成了另一个挑战。此外,本研究发现,发展中国家农民使用的大多数可追溯性工具都不符合国际标准,因为他们使用的工具用于追踪动物;据报道,农民使用的工具如烙印和耳标,只能提供关于动物的很少信息。这些工具缺乏跟踪有关动物的有用信息的能力,例如有关饲养和动物健康的信息。总之,本研究建议在农场层面使用更好的电子系统,以促进数据分析,从而促进知情决策并遵守国际动物可追溯性标准。否则,研究人员需要进行更多的研究,以开发不同的分析模型来探索农场数据,从而提高农民和其他利益相关者的决策过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9578/7759413/08cd63564476/TSWJ2020-1279569.001.jpg

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