Publication

Abstract : There are lot of resources available in nature. Among the resources, water plays an important role in our day to day activities and in agriculture. But, nowadays water has become a major problem in many parts of the world. Day by day, as the population increases, the requirement for water resources is rapidly increasing. So, a lot of new ideologies are being implemented in conserving water resources. One of the ways of controlling water resources is by reducing the usage of water in irrigation. Many ideas were proposed and implemented in attempts to reduce the usage of water. The existing model, “Automated irrigation system using weather prediction for efficient usage of water resources” (AISWP), lacks efficiency in precise weather prediction and also it is proposed such that it works for only one particular crop. So, for better efficiency of the system, the method called “Irrigation Monitoring and Controlling System” (IMCS) has been proposed. In this method, the shortcomings of AISWP method has been rectified by watering the crops considering the moisture content of the soil and weather prediction of the surroundings, using web scraper. Web scraper can also be used to perform watering based on the type of crop that is being grown. The model has also been provided with an additional feature to calculate the pH of the soil so that fertilizers can be used according to it. So, by using this method, watering of the plants can be precisely monitored based on the climatic conditions, type of crop that is being harvested and to check the pH value of the soil to avoid soil erosion.