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Design of a Cloud-based Monitoring System for Potential Leaves Decomposition for Manures

机译:植物潜在叶片分解的基于云的监测系统的设计

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The agriculture sector is important to the economic growth of agriculture-inclined countries like South Africa. Issues regarding agriculture may not only directly affect consumers, but cause the increase in food price. This may further affect the price control policy on food. This paper discusses soil manuring as one of the problems faced in optimum food productivity. Since leaves droppings could be decomposed to fertilize the soil, the need to understand the factors that may affect the process or outcome is important, hence our project. We designed a compact monitoring circuit using the Redboard and GSM/GPRS module. Three TCS3200 color sensors were used to detect leaves droppings, giving a large coverage area. The colors detected were categorized to numbers, for possible data analysis. Other sensors were used to collect parameters for possible factors that may affect decomposition. We measured soil moisture, soil temperature, ambient temperature, relative humidity, and dew point. Our Heroku-deployed developed cloud platform was synced to the monitoring circuit for remote monitoring. Our whole project embraced a continuous real-time monitoring from the site to the cloud platform.
机译:农业部门对农业倾斜国家的经济增长很重要,如南非。关于农业的问题可能不仅直接影响消费者,而且导致食品价格的增加。这可能进一步影响食物的价格控制政策。本文讨论了土壤,作为最佳食品生产力面临的问题之一。由于叶子粪便可以分解以使土壤施肥,因此需要了解可能影响过程或结果的因素是重要的,因此我们的项目。我们使用Redboard和GSM / GPRS模块设计了一种紧凑的监控电路。使用三个TCS3200色传感器来检测叶片粪便,给出一个大的覆盖区域。检测到的颜色被分类为数字,用于可能的数据分析。其他传感器用于收集可能影响分解的可能因素的参数。我们测量土壤水分,土壤温度,环境温度,相对湿度和露点。我们的Heroku部署的开发云平台同步到远程监控的监控电路。我们的整个项目拥有从网站到云平台的持续实时监控。

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