农民利用信息通信技术获取农业信息的特点

G. Bhosale
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引用次数: 0

摘要

本研究探讨了农民利用信息通信技术(ICT)获取农业信息的特点。这项研究是在2020-21年期间在马哈拉施特拉邦的马拉特瓦达地区进行的。从马拉特瓦达地区随机选择了两个县,即帕尔巴尼和欣戈利。从每个选定的地区随机选择两个塔卢卡,从每个塔卢卡随机选择四个村庄进行研究。在每个选定的村庄中,随机抽取10名拥有带有互联网设施的移动电话并从事农业经营的农民,这样总共160名受访者被纳入研究范围。本研究采用了事后研究设计。数据的收集是根据研究目标制定的结构良好的访谈时间表进行的。对收集到的数据进行分析、分类和制表。使用频率、百分比、平均值、标准差和相关系数等统计工具来解释研究结果并得出结论。详细分析农民概况特征表明,大多数农民为中等年龄(55.63%)、中学以上文化程度(44.38%)、小土地所有者(41.87%)、中等家庭规模(60%)、中等收入水平(41,233 ~ 3,19,268卢比)(87.5%)、中等农业经验(60.63%)、中等创新水平(36.25%)、中等社会参与水平(51.25%)、中等大众媒体曝光水平(50.63%)、中等农业经验(60.63%)。中等水平的科学导向(55.62%),中等水平的延伸接触(54.38%)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of Farmers Using the Information and Communication Technology for Seeking Agricultural Information
The present study explored characteristics of farmers using the information and communication technology (ICT) for seeking agricultural information. The study was conducted in Marathwada region of Maharashtra state during the year 2020-21. Two districts namely, Parbhani and Hingoli were selected randomly from Marathwada region. Two talukas from each selected district and four villages from each talukas were selected randomly for the study. From each selected village, ten farmers those having mobile phones with internet facilities and engaged in agricultural operations were selected randomly, in this way total 160 respondents were considered for the study. An Ex-post-facto research design was followed for the study. Data was gathered using a well-structured interview schedule created with the study's objectives in mind. The collected data was analyzed, classified and tabulated. Statistical tools such as frequency, percentage, mean, standard deviation, and coefficient of correlation were used to interpret findings and draw conclusions. The detailed analysis of profile characteristics of farmers indicated that majority of the farmers were medium aged (55.63%), educated up to middle school level (44.38%), small land holder (41.87%), medium size family (60%), medium level of annual income i.e. Rs. 41,233 to Rs. 3,19,268 (87.5%), medium farming experience (60.63%), medium level of innovativeness (36.25%), medium level of social participation (51.25%), medium level of mass media exposure (50.63%), medium level of scientific orientation (55.62%), medium level extension contact (54.38%).
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