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A Model of Virtual Crop Labs as a Cloud Computing Application for Enhancing Practical Agricultural Education

机译:虚拟作物实验室模型作为云计算应用,以提高实际农业教育

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A model of crop specific virtual labs is proposed to improve practical agricultural education by considering the agricultural education system in India. In agricultural education, the theoretical concepts are being imparted through class room lectures and laboratory skills are imparted in the dedicated laboratories. Further, practical agricultural education is being imparted by exposing the students to the field problems through Rural Agricultural Work Experience Program (RAWEP), experiential learning and internships. In spite of these efforts, there is a feeling that the level of practical skills exposed to the students is not up to the desired level. So we have to devise the new ways and means to enhance the practical knowledge and skills of agricultural students to understand the real-time crop problems and provide the corrective steps at the field level. Recent developments in ICTs, thus, provide an opportunity to improve practical education by developing virtual crop labs. The virtual crop labs contain a well organized, indexed and summarized digital data (text, photograph, and video). The digital data corresponds to farm situations reflecting life cycles of several farms of different crops cultivated under diverse farming conditions. The practical knowledge of the students could be improved, if we systematically expose them to virtual crop labs along with course teaching. We can employ cloud computing platform to store huge amounts of data and render to students and other stakeholders in an online manner.
机译:建议通过考虑印度农业教育系统来改善实际农业教育的作物特定虚拟实验室。在农业教育中,通过课堂讲座和实验室技能在专业实验室赋予理论概念。此外,通过将学生通过农村农业工作经验计划(Rawep),经验学习和实习,通过将学生暴露于现场问题而被赋予实际农业教育。尽管有这些努力,有一种感觉,暴露于学生的实际技能水平并不是所需的水平。因此,我们必须制定新的方式和手段,以提高农业学生的实践知识和技能,以了解实时作物问题,并在现场水平提供纠正措施。因此,ICT的最新发展是通过开发虚拟作物实验室来改善实践教育的机会。虚拟裁剪实验室包含一个有组织,索引和总结的数字数据(文本,照片和视频)。数字数据对应于反映在各种耕作条件下培养的几种不同作物农场的生命周期的农场情况。如果我们系统地将其视为虚拟作物实验室以及课程教学,则可以改善学生的实际知识。我们可以采用云计算平台以在线方式存储大量数据并向学生和其他利益相关者渲染。

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