Boltuino Platform Based Cognitive Irrigation System with Weather Adaptability for Efficient Water Use

Crop production is perhaps one of the most challenging activities that one may undertake in today's world. Among the disadvantages of traditional farming methods main are the excessive water use during irrigation, the waste of time and capital, the reliance on nonrenewable energy sources and the requirement for human labor. To ensure the progress of the country, it is crucial that the agricultural sector is developed in a strategic manner. The purpose of this work is to design an Internet of Things-based cognitive system that has a substantial impact on water conservation. It is possible for farmers to access information on soil moisture, temperature, and humidity via the internet or their mobile devices, and the irrigation motor will automatically switched on and off in response to this data. Being able to control their irrigation systems from the comfort of their homes will be extremely beneficial to farmers in many ways. Farmer's time and labor will be saved, and the farmer will be sheltered from the heat and cold in both the summer and winter seasons. In addition, the proposed system has the capability to response towards the rain. On the basis of the rain data, the pump relay will be ON and OFF to ensure energy saving. The BOLT module has been used to collect real-time data on a variety of parameters as well as alert systems. Using the Arduino Uno and BOLT, the moniker “Boltuino” was coined for the project. Here, the proposed strategy is realised by means of an indoor farming setup. The collected data indicates significant water savings.