A Study on Data Analysis and Electronic Application for the Growth of Smart Farming

Abstract

This paper proposed the system development especially for watering the agricultural crops depend upon the WSN. This paper focused to develop and model a control process by joint radars in the agricultural crop along with information management through web and smartphone application. The 3 elements are application of mobile, web and hardware. The first element i.e. hardware was executed and designed in manage box hardware linked to gather information about the crops. Soil humidity radars are used to detect the agricultural field linked to the control box. The 2nd element i.e. web method was web depend method which was executed and modeled to handle the details of field and crop information. This element applied information mining to examine the information for finding perfect soil humidity, moisture level and temperature. The last element i.e. mobile method was used mainly to manage field watering by a mobile method in a phone. This allows manual or automatic control by the controller. An automatic control uses information from soil humidity radars for watering the crops. The user may choose the manual method for watering the field in the system control method. The method may send notifications by LINE API for the line app. The method was tested and executed in Northeast India. The outputs displayed the executions to be helpful in the field of agriculture. The humidity level of the soil was appropriately maintained for improving manufacturing in agriculture, growth of vegetables and decreasing cost. Therefore, this paper displays the driving agriculture field by digital creativity.