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Design of an Internet of Things (Iot) Based Smart Irrigation and Fertilization System Using Fuzzy Logic for Chili Plant

机译:基于智利植物模糊逻辑的基于事物互联网(物联网)智能灌溉系统的设计

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Proper monitoring and control of irrigation and fertilization system is crucial in agriculture field to ensure sufficient nutrients and moisture supplied to the plant is maintained all the time. There are two type of parameters being monitored which are soil moisture and its pH level. A systematic approach in monitoring and control of these parameters is thus necessary to uphold sustain smart farming solutions. Main objective of this project is to design smart irrigation and fertilization system for chili plant using Fuzzy Logic. In this project, the implementation of Internet of Things (IoT) also included where Wi-Fi node is used for the means of connection medium. Fuzzy Logic was implemented as a controller in this system to administer the flowrate of water, alkali and acid solutions into the soil in order to maintain its moisture and pH level. There are 2 memberships assigned as input fuzzy which are moisture and pH value while output have 3 memberships which are alkali, neutral and acid solution flowrate. The fuzzy rules were programmed into Arduino to control the water pump and valve opening. The system was able to store the data and display on mobile phone through Blynk mobile application. This system was tested on a chili plant where the growth of a plant under controlled environment have better performance compared to the traditional method.
机译:灌溉和施肥系统的适当监测和控制在农业领域至关重要,以确保一直保持植物提供足够的营养和水分。监测有两种类型的参数,是土壤水分及其pH水平。因此,需要一种系统的监测和控制这些参数的方法,以维持维持智能农业解决方案。该项目的主要目标是使用模糊逻辑设计辣椒植物的智能灌溉和施肥系统。在该项目中,还包括用于连接介质的手段的Wi-Fi节点的内容(物联网)的实施。模糊逻辑被实施为该系统中的控制器,以将水,碱和酸溶液流入土壤,以保持其水分和pH水平。有2个成员资格被分配为输入模糊,是水分和pH值,而产出有3个成员资格,其是碱,中性和酸溶液流量。将模糊规则编程为Arduino以控制水泵和阀门开口。该系统能够通过Blynk移动应用程序将数据存储在移动电话上。该系统在辣椒植物上进行了测试,其中在受控环境下的植物的生长与传统方法相比具有更好的性能。

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