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Cloud-Based Harvest Management System for Specialty Crops

机译:基于云的特种作物收获管理系统

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Harvesting labor is a major cost factor in the production of specialty crops. Today accruing harvest labors is still done by hands, which is error-prone and costly. By integrating cloud-based web application with purposely designed labor monitoring devices (LMDs), we developed a harvest management system for monitoring and accruing harvest labors. The system comprises of two major components: an in-orchard data collection network collecting harvest data and transmitting them to a cloud-based labor managementsoftware (LMS); and, LMS processing harvest data and delivering results to users via a tablet-friendly web interface. Using a patented technology, the system accurately accrues harvest labor activities for multiple orchards, even under complex many-to-many employment relations. The system provides multi-fold benefits to stakeholders of specialty crop harvesting: a picker can be compensated accurately by the actual weight of the fruits he picked; and an orchard manager may monitor labor activities in real time and improve his orchard operation based on the analytical reports generated by the system. The dynamic resource allocation provided by a cloud computing platform ensures that the system can handle the fluctuating demand for processing real-time harvest data during and off harvest seasons. The design of the system is optimized for cloud computing, improving the access to orchard data while preserving their privacy for growers. A prototype of the system has been validated in field tests in United States' Pacific Northwest Region.
机译:收获劳动力是生产特种作物的主要成本因素。如今,仍需人工完成收割工作,这容易出错且成本高昂。通过将基于云的Web应用程序与专门设计的人工监视设备(LMD)集成在一起,我们开发了一种用于监视和累积收获人工的收获管理系统。该系统由两个主要组件组成:果园数据收集网络,收集收获数据并将其传输到基于云的劳动管理软件(LMS); LMS处理收割数据并通过平板电脑友好的Web界面将结果传递给用户。该系统使用专利技术,即使在复杂的多对多雇佣关系下,也可以准确地累计多个果园的收获劳动活动。该系统为专业作物收获的利益相关者提供了多重利益:采摘者可以通过采摘的水果的实际重量来准确地补偿采摘者;果园经理可以根据系统生成的分析报告实时监视人工活动并改善果园的运作。云计算平台提供的动态资源分配确保系统可以处理在收获季节内和收获季节外处理实时收获数据的波动需求。该系统的设计针对云计算进行了优化,在保护果园种植者隐私的同时改善了对果园数据的访问。该系统的原型已在美国太平洋西北地区的现场测试中得到验证。

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