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

Ranjith, Saheer Anas, Ibrahim Badhusha, Zaheema Ot, K. Faseela, Minnuja Shelly
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引用次数: 17

Abstract

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.
基于云的自动化灌溉和植物叶片病害检测系统,采用android应用程序
由于剧烈的气候变化和缺水,对适当和可持续的灌溉方法的需求很高。植物的需水量因土壤含量、质地、气候等因素的变化而异。这些植物需要根据它们在那种气候条件下的需水量来灌溉。就像对水分的需求一样,植物病害也是使植物不能正常生长的一个因素。此外,目前还发现了多种植物叶片病害。本文提出了一种新型的智能灌溉系统,该系统可以通过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。在此基础上,通过android移动应用程序将可疑植物病害列表提供给用户。
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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