安得拉邦农民对采用作物智能系统的看法和制约因素

T. Yamini, Y. Prabhavathi
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引用次数: 0

摘要

在现代农业中,采用基于物联网的作物智能系统的势头越来越猛,它为旱地农民提供服务,以改进他们的耕作方式并提高生产率。本研究旨在分析安得拉邦阿南塔普尔地区农民对采用基于物联网的作物智能系统的看法和制约因素。研究人员从随机抽取的 100 名农民中获得了原始数据,并通过平均得分、等级排序和法瑞特排序技术对所获得的数据进行了分析。研究结果表明,作物智能系统在改进农场运营规划、作物保护(尤其是灌溉警报和疾病控制)方面发挥了至关重要的作用。易用性因素也得到了高度评价。在采用者中,操作缺乏灵活性和来自社交网络的负面支持被认为是重大障碍。对于非采用者来说,初始投资成本高和获得信贷的机会有限被认为是采用作物智能系统的主要障碍。
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Perception and constraints of farmers in adoption of crop intelligence systems in the state of Andhra Pradesh
The adoption of IoT based crop intelligence systems has been gaining momentum in modern agriculture, offering services to dry land farmers to enhance their farming practices and increase productivity. This study intend to analyze the farmers perception and constraints in adoption of IoT based crop intelligence systems in Anantapur district of Andhra Pradesh. Primary data was obtained from a random of 100 sample farmers and data obtained was analysed through mean score, rank order and Farrette’s ranking techniques. The results from the study indicated that the crop intelligence systems played a crucial role in improving the planning of farm operations, crop protection particularly in irrigation alerts and disease control. The ease-of-use factor was also highly regarded. Among adopters, the lack of flexibility in operation and negative support from social networking were identified as significant barriers. For non-adopters, high initial investment cost and limited access to credit facilities were identified as the major hindrances to adopting crop intelligence systems.
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16 weeks
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