Design and Fabrication of IoT based Agricultural Automation system

Suvarna Rode, Ritwik Saraf, Jason Veigas, Natesh Shetty, Srushti Shardul
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Abstract

The paper illustrates the use of smart devices and digitization to achieve agricultural process automation and increased yield of crops. Crops need fertilizers in the form of NP-K and water in a specific quantity and time. Current process of watering and adding fertilizers to specific plants is closely studied and correlated data on growth rates and fertilizer requirement is collected. This data is integrated into the smart Fertigation system which uses multiple sensors and smart devices. This system is then used to carry out controlled drip irrigation-based fertilization and irrigation of crops. An experimental setup for the same is deployed in a lab like environment using sensors to monitor parameters such as pH level of the soil, TDS values, temperature, humidity at a given time of the day, Arduino based actuator circuit is deployed for remote operations and control systems and additionally the remote data collection/control is enabled using Python and Google APIs. This fully functional IoT fertigation system collected data as illustrated in the paper. A correlation is drawn between the sensor actual data and control parameters of fertilizer and water supplied to the soil. This paper evaluates the viability of such a system in a controlled environment and further scaling of this system for farmers benefit to autonomously manage large land parcels based on weather data and soil characteristics.
基于物联网的农业自动化系统的设计与制造
本文阐述了利用智能设备和数字化来实现农业过程自动化和提高作物产量。作物需要一定数量和时间的氮磷钾肥和水。对特定植物的当前浇水和施肥过程进行了密切研究,并收集了生长速率和肥料需要量的相关数据。这些数据被集成到智能施肥系统中,该系统使用多个传感器和智能设备。然后使用该系统对作物进行基于滴灌的控制施肥和灌溉。同样的实验设置部署在类似实验室的环境中,使用传感器在一天中的给定时间监测土壤的pH值,TDS值,温度,湿度等参数,基于Arduino的执行器电路部署用于远程操作和控制系统,另外使用Python和谷歌api启用远程数据收集/控制。这个功能齐全的物联网施肥系统收集的数据如文中所示。得出了传感器实测数据与土壤肥水供给控制参数之间的相关性。本文评估了这种系统在受控环境中的可行性,并进一步扩大了该系统的规模,使农民能够根据天气数据和土壤特征自主管理大片土地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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