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PlantOne: An Arduino-based Ph and Moisture Based Soil Plant Identifier

机译:山龙:基于Arduino的pH与水分土壤植物型号

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PlantOne application presents smart farming innovative tool which is powered by Arduino microcontroller and mobile application technology. This system innovation is equally important in today's modern agriculture. These technologies were integrated to help people with the best farming practices during CoVID19 outbreak. People explore growing plants in their backyard to supplement their food supply while others consider planting as avenue to one's mental and physical health. The study is motivated to design and develop a farming application that will monitor the soil pH and moisture content providing accurate and reliable knowledge management to farming enthusiast. The study utilized a qualitative and experimental research design to attain the objectives of the study. An Iterative Waterfall model was employed in the system development to attain user and business requirements. Researchers utilized Arduino microcontroller on its features to perform hardware and software integration. Powered by integrated development environment multiple sensors were utilized in the project application such as pH sensor, moisture sensor and ESP WiFi 8266 module. Android Studio, JAVA, Node.js, Android Kitkat and DB Browser for SQL was used in the robust development of a secured and reliable mobile application. The results of the study proves the PlantOne application to be an scalable and intelligent farming application tool in providing knowledge management on best farming practices. PlantOne was consistent “PASS” on the system evaluation of agriculture experts in the Regional Soil Laboratory of a PASS or FAIL rating. Finally, PlantOne is recommended to funding agencies as an innovative tool to smart farming.
机译:跖孔应用介绍了智能农业创新工具,由Arduino微控制器和移动应用技术提供支持。该系统创新在当今现代农业中同样重要。这些技术被融入,以帮助人们在Covid19爆发期间获得最好的农业实践。人们在后院探索生长植物,以补充他们的食物供应,而其他人认为将种植作为一个人的心理和身体健康。该研究有动力设计和开发一种农业应用,将监测土壤pH和水分含量,为耕作爱好者提供准确可靠的知识管理。该研究利用了一个定性和实验研究设计来实现了该研究的目标。在系统开发中使用迭代瀑布模型以获得用户和业务需求。研究人员利用Arduino MicroController在其功能上进行硬件和软件集成。由集成开发环境供电,在项目应用中使用多个传感器,例如PH传感器,湿度传感器和ESP WiFi 8266模块。 Android Studio,Java,Node.js,Android Kitkat和SQL的DB浏览器用于安全和可靠的移动应用程序的强大开发。该研究的结果证明了跖翼应用是一种可扩展和智能的农业应用工具,在提供最佳农业实践的知识管理方面提供了可扩展和智能的农业应用工具。跖龙在区域土壤实验室的农业专家的系统评估中是一致的“通过”,或者失败评级。最后,建议使用跖龙作为智能农业的创新工具。

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