泰米尔纳德邦玉米农民在使用智能手机获取农业信息方面面临的制约

S. Sownthariya, R. Theodore, N. Sriram, C. Velavan, P. S. Ganapati
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引用次数: 0

摘要

本研究旨在分析泰米尔纳德邦玉米种植户在使用智能手机获取农业信息方面面临的制约因素,并提出提高玉米种植户智能手机使用率的策略。事后研究设计。根据玉米种植面积最大,选择了Perambalur和Cuddalore进行研究。每个区选取2个小区,根据玉米种植面积最大值从选取的小区中选取2个村庄进行研究。该研究于2023年6月进行。采用简单随机抽样的方法,选取120名调查对象进行研究。受访者的回答进行了频率和百分比分析。这些约束分为两类,即硬件约束和软件约束。这些建议被分为三类,即硬件策略、软件策略和培训需求。大多数受访者表示,与硬件相关的主要限制因素是智能手机的维修和维护成本高(70.83%),数据资费高(66.67%),以及使用智能手机的知识和技能不足(57.5%)。与软件相关的主要制约因素是地理位置信息可获得性较差(85.00%)、信息不更新(81.67%)、转发信息不可靠(71.67%)和对农业移动应用/门户网站的认识不足(69.17%)。农民建议的提高智能手机使用的主要策略是政府提供帮助购买高端智能手机(91.67%)、销售农民友好型数据包(79.17%)、在移动应用程序中添加语音识别功能(98.33%)、开发玉米专用移动应用程序(97.50%)、通过方法示范和培训培养农民下载和操作与农业相关的各种应用程序和门户网站的知识(99.17%)。大多数农民面临的主要制约因素是智能手机的维修和维护成本高,数据资费高,以及特定位置信息的可用性较低。为了克服这些限制,美国农业部可能会考虑为农民购买高端智能手机提供援助。农民友好型数据包和特定位置的内容也将增强农民的智能手机使用行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constraints Faced by Maize Farmers of Tamil Nadu in Use of Smartphone for Accessing Agricultural Information
The study was carried out to analyse the constraints faced by maize farmers of Tamil Nadu in use of smartphone for accessing agricultural information, and to elicit strategies for improving the smartphone usage among maize farmers. Ex- Post Facto Research Design. The selected districts for the study were Perambalur and Cuddalore based on maximum area under maize cultivation. Two blocks were selected from each district, and from the selected blocks, two villages were selected for the study based on maximum area under maize cultivation. The study was conducted during June 2023. Totally 120 respondents were selected for the study based on simple random sampling technique. The responses of the respondents were subjected to frequency and percentage analysis. The constraints were grouped into two categories viz., hardware constraints and software constraints. The suggestions were grouped into three categories viz., hardware strategies, software strategies, and training needs. Most of the respondents reported that the major hardware related constraints were high cost for repair and maintenance of smartphones (70.83%), high data tariff (66.67%), and less knowledge and skill in using smartphone (57.5%). The major software related constraints were less availability of location-specific information (85.00%), information not updated (81.67%), receiving unreliable forward messages (71.67%) and less awareness on agricultural mobile apps/web portals (69.17%). The major strategies suggested by the farmers for improving smartphone usage were provision of assistance by the government to purchase high end smartphone (91.67%), sale of farmer friendly data packs (79.17%), adding voice recognition facility in mobile apps (98.33%), developing maize specific mobile apps (97.50%), developing knowledge of farmers on downloading and operating different apps and portals related to agriculture (99.17%) through method demonstration and trainings. Most of the farmers faced high cost for repair and maintenance of smartphones, high data tariff, and less availability of location-specific information as major constraints. To overcome these constraints State Department of Agriculture may consider providing assistance to farmers to purchase high end smartphones. Farmer friendly data packs and Location specific contents will also enhance smartphone usage behaviour among farmers.
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