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Cloud based automated irrigation and plant leaf disease detection system using an android application

机译:使用Android应用程序的基于云的自动灌溉和植物叶病检测系统

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Due to drastic climatic changes and scarcity of water, the need for proper and sustainable irrigation methods is of high demand. The water demand for plants varies from place to place with the changes in soil content, texture, climatic factors and so on. The plants need to be irrigated according to their water requirements at that climatic conditions. As like as the water requirements, plant diseases are also a factor that keeps the plants not growing properly. Also, a variety of plant leaf diseases have also been detected nowadays. In this paper, a novel smart irrigation system has been proposed which can control the irrigation automatically using an android mobile application. Apart from this, the photos of plant leaves are captured and are sent to the cloud server, which is further processed and compared with the diseased plant leaf images in the cloud database. Based on the comparison a list of plant diseases suspected are given to the user via the android mobile application.
机译:由于气候变化激动变化和水的稀缺,需要适当和可持续的灌溉方法的需求量很大。植物的水需求因土壤含量,质地,气候因素等而异。在这种气候条件下,需要根据其水需求灌溉植物。就像水要求一样,植物疾病也是使植物不适当生长的因素。而且,也已经检测到各种植物叶片疾病。本文提出了一种新型智能灌溉系统,可以使用Android移动应用程序自动控制灌溉。除此之外,植物叶片的照片被捕获并被发送到云服务器,进一步处理,并与云数据库中的患病植物叶片图像进行比较。根据比较,通过Android移动应用程序向用户提供涉嫌植物疾病列表。

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