Advanced Machine Learning Techniques For Irrigation System

Abstract

The Water Energy Food (WEF) nexus is an interdependent approach which provides mutual integration for a sustainable ecosystem. WEF ecosystem nexuses provide the solution to achieve long-term environmental, economic and social goals. Particularly, an effective irrigation system optimizes the usage of water, reduces the consumption of energy and increase the food production. An advanced water management system required for agriculture because huge amount of fresh water is wasted while doing the irrigation. An irrigation system is the process of managing water for helping the plants to gets efficient way. The different types of irrigation system used for agriculture such as surface, micro, Drip, and etc. An effective irrigation system required proper requirement analysis. The wireless system, IoT and sensors used to help the requirement and environments analysis. Recent technologies such as IoT, machine and deep learning help to analysis the present and future requirements of water and nutrition of plants. newlineWater and energy consumption in the agriculture industry is not accurately calculated, water efficiency and planning are crucial. An irrigated field waste an enormous quantity of water in irrigation system. The integration of current technology offers a solution for water management and for establishing the right irrigation plan. In this thesis concentrated irrigation requirement analysis using the different parameters for crops. newline newline