论文标题
物联网智能植物监测,浇水和安全系统
IoT Smart Plant Monitoring, Watering and Security System
论文作者
论文摘要
自从全球施加的锁定政府抑制Covid-19的传播以来,人们对家庭园艺的兴趣一直在迅速发展。如今,大多数家庭在这个锁定季节开始进行园艺,因为他们可以种植蔬菜和水果或日常生活中想要的任何其他植物。因此,在这个锁定季节,他们可以生存,而无需花钱在在线杂货店购物上购买水果和蔬菜。在斯里兰卡,由于这个大流行,在过去几个月中,家庭园艺是一种趋势。大多数家庭都试图为他们的需求做园艺。但是问题是,如今,政府正试图释放这些限制,以开始在斯里兰卡的日常工作。在这种情况下,人们开始做自己的工作,他们没有时间在花园里继续园艺。我们考虑了这个问题,并试图找到一种解决方案,以在完成工作时继续进行园艺工作。主要问题是人们不能每次监视植物并保护他们的花园。因此,我们决定自动化花园工作。借助我们的新解决方案,园丁可以通过使用我们的应用程序来监视植物的健康状况,土壤水分水平,空气湿度水平以及周围温度和周围的花园,从而随时使用我们的应用程序来监测一些重要因素。植物健康对植物开发,生产和农业用品的质量有重大影响。这项研究的目的是创建一个自动化系统,该系统可以通过温度,湿度和颜色等传感器来根据植物叶健康状态的变化来识别植物中疾病的存在。
Interest in home gardening has burgeoned since governments around the world-imposed lockdowns to suppress the spread of COVID-19. Nowadays, most families start to do gardening during this lockdown season because they can grow vegetables and fruits or any other plants that they want in their day-to-day life. So, they can survive without spending money on online grocery shopping for fruits and vegetables during this lockdown season. In Sri Lanka, home gardening was a trend during the past couple of months due to this pandemic. Most of the families were trying to do gardening for their needs. But the problem is, nowadays the government is trying to release those restrictions to start day-to-day work in Sri Lanka. With this situation, people are starting to do their jobs and they do not have time to spend in their gardens continuing their gardening. We thought about this problem and tried to find a solution to continue the gardening work while doing their jobs. The major concern is people cannot monitor their plants every time and protect their garden. So, we decided to automate the garden work. With our new solution, gardeners can monitor some important factors like the plant's healthiness, soil moisture level, air humidity level, and the surrounding temperature and water their garden from anywhere in the world at any time by using our app. Plant health has a significant impact on plant development, production, and quality of agricultural goods. The goal of this study is to create an automated system that can identify the presence of illness in plants based on variations in plant leaf health state is created utilizing sensors such as temperature, humidity, and color....