FarmEdge:实现数字农业的统一边缘计算框架

P. Joshi, Debanjan Das, Venkanna Udutalapally, S. Misra
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摘要

确保更高的作物产量有助于优化利用可用土地和人力以及农业投入。作物健康状况差、土壤不孕症和获取资源的机会有限等因素导致作物产量低。现有的解决方案为农民提供基于云的服务,而这些服务对于居住在没有互联网接入的偏远地区的农民来说是不可用的。为了防止这种情况,FarmEdge引入了一个基于端到端边缘的统一计算平台,以android应用程序的形式- Hamar Kisaan,用于农村农民监控农田,跟踪实时发展并提出提高作物产量的解决方案。Hamar Kisaan的作物健康监测功能与物联网Krishi节点支持的土壤健康监测相结合,准确率为94.2%,为农民社区提供一站式农业解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FarmEdge: A Unified Edge Computing Framework Enabling Digital Agriculture
Ensuring higher crop yield helps in optimal utilisation of available land and man power along with agriculture inputs. Factors such as poor crop health, soil infertility and limited access to resources lead to low crop yield. Existing solutions offer cloud based services to the farmers which are not available to farmers residing in remote areas with no internet access. To prevent this, FarmEdge introduces an end-to-end edge based unified computing platform in the form of an android application - Hamar Kisaan for rural farmers to monitor crop field, track real time developments and propose solutions for higher crop yield. The crop health monitoring feature of Hamar Kisaan with an accuracy of 94.2% when paired with soil health monitoring enabled by IoT Krishi nodes, provides a one stop agriculture solution for the farmer community.
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