对发展中国家采用物联网实现智慧农业的信任

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Parallel Emergent and Distributed Systems Pub Date : 2021-09-30 DOI:10.5121/ijdps.2021.12502
Tsitsi Zengeya, P. Sambo, N. Mabika
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引用次数: 1

摘要

网络环境中的信任是基于对受托人可信度的信任,它由三个不同的维度组成——诚信、能力和仁慈。津巴布韦缓慢地将物联网应用于智能农业,作为改善该国粮食安全的一种方式,尽管大多数农民犹豫不决,理由是信任问题,因为对作物、动物和农场设备的监控将通过连接多台设备和访问数据来在线完成。农民很难相信上述技术有能力在特定情况下按预期执行或完成所需的任务,即该技术是否能够持续可靠地监测环境、营养、温度和设备状态。收集的数据的完整性,因为它将用于决策。越来越需要确定对技术的信任如何影响津巴布韦智能农业采用物联网。采用混合方法从津巴布韦随机抽样的50名A2模范农民中收集数据。研究结果显示,麦克奈特etal。技术信任模型可以通过信任技术将是可靠的并将按预期运行来影响物联网的采用。诸如安全性和技术不信任等附加结构可以作为未来研究的参考。
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Trust in the Adoption of Internet of Things for Smart Agriculture in Developing Countries
Trust in online environments is based on beliefs in the trustworthiness of a trustee, which is composed of three distinct dimensions - integrity, ability, and benevolence. Zimbabwe has slowly adopted Internet of Things for smart agriculture as a way of improving on food security in the country, though there is hesitancy by most farmers citing trust issues as monitoring of crops, animals and farm equipment’s would be done online through connecting several devices and accessing data. Farmers are facing difficulties in trusting that the said technology has the ability to perform as expected in a specific situation or to complete a required task, i.e. if the technology will work consistently and reliably in monitoring the environment, nutrients, temperatures and equipment status. The integrity of the collected data as it will be used for decision making. There is a growing need to determine how trust in the technology influence the adoption of IoT for smart agriculture in Zimbabwe. The mixed methodology was used to gather data from 50 A2 model farmers randomly sampled in Zimbabwe. The findings revealed that McKnight etal. trust in technology model can be used to influence the adoption of IoT through trusting that the technology will be reliable and will operate as expected.Additional constructs such as security and distrust of technology can be used as reference for future research.
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来源期刊
CiteScore
2.30
自引率
0.00%
发文量
27
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