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

机译:基于云的肥料潜在叶分解监测系统设计

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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:农业部门对像南非这样的农业大国的经济增长至关重要。有关农业的问题不仅会直接影响消费者,还会导致食品价格上涨。这可能会进一步影响食品的价格控制政策。本文讨论了土壤肥力处理,这是优化粮食生产率面临的问题之一。由于可以将残渣分解以使土壤肥沃,因此了解可能影响过程或结果的因素非常重要,因此是我们的项目。我们使用Redboard和GSM / GPRS模块设计了紧凑的监控电路。三个TCS3200彩色传感器用于检测叶子的滴落物,覆盖面积大。将检测到的颜色分类为数字,以进行可能的数据分析。其他传感器用于收集可能影响分解的因素的参数。我们测量了土壤湿度,土壤温度,环境温度,相对湿度和露点。我们将Heroku部署的开发云平台同步到监视电路以进行远程监视。我们的整个项目包括从站点到云平台的连续实时监控。

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