IOT Based Smart Water And Environment Management System Of Paddy Rice At Different Growth Stages Farmers have always invested more than enough time for farming, which, in many cases, has not proven to be fruitful. Paddy rice farmers invest a lot of labor, time and capital only to get a little amount of profit. In many countries like Bangladesh, farmers have complained that they are not able to get the right amount of profit compared to the effort they are putting to grow paddy rice. Our proposed system takes this issue into concern. It encouraged us to create a system which will not only assist the farmers to grow rice but will also consider the little environmental factors and react to them automatically, keeping the farmers away from the rice fields. The farmers can therefore invest this valuable time somewhere else. The system does this by watering the rice plant according to their needs at different growth stages using a water pump. It also controls the temperature and maintains it within a narrow range using electric bulbs and fans. Moreover, this is an IoT based system which actively checks pH of the soil, sends the data to cloud and if the pH is out of range, then it will notify the farmer using the IFTTT application. Furthermore, since this data is being published to the cloud, this could be of real help for geologists as they constantly seek soil quality data of different areas.

Interactive Cultivation System for the Future IoTBased Agriculture As initiatives to increase Japanu0027s declining food selfsufficiency rate and revitalize the field of agriculture, the concept of smart agriculture and urban agriculture are currently being implemented. Automation via Artificial Intelligence is expected to overcome the labor shortage in the agricultural industry. However, the number of skilled farmers who can contribute to gathering crop growth data required for machine learning is restricted, and these data are also limited to localand environmentalbased conditions. In this paper, we propose a system for obtaining composite growth data in various environments and crops targeted for home gardens and paddy fields. An interactive cultivation sensing system consisting of IoTbased technologies is designed and realized to ensure the continuous growth of crops in optimum conditions daily. With this, progress will be made in determining the efficient cultivation conditions for machine learning, and in finding solutions to future problems of agriculture.