Optimization of Water Quantity with Smart Agriculture in IOT

Abstract

Abstract: In this paper, we propose fostering a framework ideally watering horticultural harvests dependent on a remote sensor organization. This work planned to plan and foster a control framework utilizing hub sensors in the harvest field with information the executives by means of cell phone and a web application. The three parts are equipment, web application, and portable application. The principal segment was planned and executed in charge box equipment associated with gather information on the harvests. Soil dampness sensors are utilized to screen the field, associating with the control box. The subsequent segment is an electronic application that was planned and executed to control the subtleties of yield information and field data. This segment applied information mining to break down the information for anticipating appropriate temperature, stickiness, and soil dampness for ideal future administration of harvests development. The last part is essentially used to control crop watering through a versatile application in a cell phone. This permits either programmed or manual control by the client. The programmed control utilizes information from soil dampness sensors for watering. Be that as it may, the client can pick manual control of watering the harvests in the useful control mode. The framework can send notices through LINE API for the LINE application. The framework was executed and tried in Makhamtia District, Suratthani Province, Thailand. The outcomes demonstrated the execution to be valuable in agribusiness. The dampness content of the dirt was kept up with properly for vegetable development, lessening costs and expanding rural usefulness. Also, this work addresses driving farming through computerized development.