DEVELOPMENT OF IoT BASED SMART SENSING SYSTEM FOR THE DETECTION OF SOIL NUTRIENTS AND ENVIRONMENTAL CONDITION TOWARDS PRECISION AGRICULTURE

摘要

Our country's economic development is highly dependent on farming. In the research, we suggest a way to develop a smart farming system that uses the cutting edge of Internet of Things (IoT) and Cloud computing to assist the farmers to enhance the way of farming. The research primarily lays emphasis on identifying the level of soil nutrients and environmental factors. Nitrogen, Phosphorous as well as Potassium were the major soil nutrients accountable for plant development. Soil moisture, pH level along with the temperature level of the environment is reported. In the suggested structure the soil specimen is taken as input as well as some chemical reactions are carried out. The colour change of the specimen was sensed through the colour sensors and the values are processed by a controller. The values are delivered to the user for low cost farming solutions to adapt with the socio-economic conditions of small scale farming in developing countries. An Android mobile application has been developed to show the obtained result from the controller.