基于云的肥料潜在叶片分解监测系统设计

K. E. Adetunji, C. E. Ngene
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引用次数: 2

摘要

农业部门对南非等农业倾向国家的经济增长至关重要。农业问题不仅会直接影响到消费者,而且会导致食品价格上涨。这可能会进一步影响食品价格控制政策。本文讨论了土壤施肥是实现粮食生产最优化所面临的问题之一。由于树叶排泄物可以被分解来施肥,因此了解可能影响过程或结果的因素是很重要的,因此我们的项目。我们利用红板和GSM/GPRS模块设计了一个紧凑的监控电路。使用3个TCS3200颜色传感器检测树叶粪便,覆盖面积大。检测到的颜色被分类为数字,以便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。我们部署的heroku开发的云平台被同步到监控电路中进行远程监控。我们的整个项目包含了从现场到云平台的连续实时监控。
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Design of a Cloud-based Monitoring System for Potential Leaves Decomposition for Manures
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.
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