Programmed Dribble Water System Framework (ADIS) to identify soil moisture by using a Dirt Adhesive Sensor

The rise of water issues and the need for appropriate farm conservation strategies is a hot topic that should be addressed in all matters that are considered extremist. In this study it is proposed to have automated water management systems on farms. The proposed action is based on the Web of Things (IoT), which can be a cost-effective and responsive solution to farm needs. The pilot program, which is important for managing the surface water table, demolition and compiling the issue of a stable water structure, will be simplified and effective. This "Modified Dribble Water System Framework" project plans to create a duplicate water system framework. OPENING the engine and CLOSING it to match the attractive soil moisture .In the green regions, the use of water mixing techniques is focused. The potential increase in the use of these methods will reduce barriers and make the water system more sustainable. The proposed model consists of three phases: First, to identify soil fill levels. The resulting phase is the confirmation of its condition: dry or wet. The final and third phase are vehicle control. This project proposes to improve the Programmed Dribble Water System Framework (ADIS) to identify soil moisture by using a dirt adhesive sensor. In particular, ADIS uses the Moisture Sensor to shut down the water content of the pond and provide a logical response to the design based on the condition obtained. Using this reaction, ADIS determines whether the land should be passed or not.