尼日利亚推广专业人员在农业推广服务中使用基于人工智能的技术

IF 0.5 Q4 AGRONOMY Journal of Agricultural Extension Pub Date : 2023-10-31 DOI:10.4314/jae.v27i3.9
Olanike Fasilat Deji, Dorcas Lola Alabi, Michael Famakinwa, Ebunoluwa Oyindamola Faniyi
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引用次数: 0

摘要

该研究考察了目前的认识和使用情况,确定了基于人工智能的数字技术在农业推广服务中的利用水平,并确定了在农业推广服务中使用基于人工智能的数字技术的优点和缺点。数据通过在线结构化问卷从尼日利亚131名推广专业人员中收集。百分率和平均值被用来描述和总结数据。调查结果显示,79.4%的受访者意识到基于人工智能的数字技术可以用于农业推广服务,而55.7%的受访者表示他们曾经使用过该技术。约45%的受访者通过使用基于人工智能的数字技术传播创新,34%的受访者展示创新和技术。此外,77.9%的人认为基于人工智能的数字技术的主要优点是随时随地接触目标受众,而71.8%的人认为数字推动者的高成本影响是其主要缺点。农业推广专业人员对基于人工智能的数字技术进行农业推广服务的认识水平较高,但利用程度较低。应组织现有专业人员的在职能力建设,以促进在尼日利亚使用基于人工智能的数字技术进行农业推广服务。
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Utilisation of Artificial Intelligence-based Technology for Agricultural Extension Services among Extension Professionals in Nigeria
The study examined the current awareness and usage, determined the level of utilisation of AI-based digital technology for agricultural  extension services, and identified the merit and demerit of using AI-based digital technology for agricultural extension services. Data  were collected through an online structured questionnaire from 131 extension professionals across Nigeria. Percentage and mean were  used to describe and summarise the data. The findings revealed that 79.4% of the respondents were aware that AI-based digital  technology can be used for agricultural extension services, while 55.7% reported that they had used the technology at one time or the  other. About 45% of the respondents disseminated innovations and 34% demonstrated innovations and technologies through the use of  AI-based digital technology. Also, 77.9% perceived reaching the target audience everywhere and every time as the major merit of AI- based digital technology while 71.8% identified high-cost implications of digital enablers as its major demerit. There was a high level of  awareness but a low level of utilization of AI-based digital technology for agricultural extension services among agricultural extension  professionals. On-the-job capacity building should be organized for the current professionals to promote the use of AIbased digital  technology for agricultural extension services in Nigeria.
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来源期刊
CiteScore
1.10
自引率
25.00%
发文量
62
期刊介绍: The Journal of Agricultural Extension (JAE) is devoted to the advancement of knowledge of agricultural extension services and practice through the publication of original and empirically based research, focusing on; extension administration and supervision, programme planning, monitoring and evaluation, diffusion and adoption of innovations; extension communication models and strategies; extension research and methodological issues; nutrition extension; extension youth programme; women-in-agriculture; extension, Climate Change and the environment, ICT, innovation systems. JAE will normally not publish articles based on research covering very small geographic area that cannot feed into policy except they present critical insights into emerging agricultural innovations.
期刊最新文献
Utilisation of Artificial Intelligence-based Technology for Agricultural Extension Services among Extension Professionals in Nigeria Characteristics of Capture and Culture Fishery Production in Kainji Lake Basin, Nigeria Constraints to Conducting Agricultural Research Uptake Activities Among Researchers in Rivers State, Nigeria Crop Farmers’ Access to E-information for Climate Smart Agriculture Production, in Cross River State, Nigeria Willingness to Adopt Organic Farming Practices among Arable Crop Farmers in Oyo State, Nigeria
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