Exploiting IoT and Its Enabled Technologies for Irrigation Needs in Agriculture

Water

Abdulrazak H. Almaliki¹  Veerachamy Ramachandran²  Ramar Ramalakshmi²  Ashraf Y. Elnaggar³  Irshad Hussain⁴  Abdulrhman A. Almaliki⁵  Enas E. Hussein⁶  Balasubramanian Prabhu Kavin⁷ 

[1] Civil Engineering Department, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur 626125, Tamil Nadu, India;Department of Food Nutrition Science (Previously Chemistry), College of Science, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;Faculty of Electrical and Computer Engineering, University of Engineering and Technology, Peshawar 25000, Pakistan;Independent Researcher, Jeddah 12462, Saudi Arabia;National Water Research Center, P.O. Box 74, Shubra El-Kheima 13411, Egypt;Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai 60011, Tamil Nadu, India;

关键词: Internet of Things (IoT);    agriculture;    irrigation;    cloud platforms;    sensors;    controllers;   

DOI  :  10.3390/w14050719

来源: DOAJ

【 摘 要 】

The increase in population growth and demand is rapidly depleting natural resources. Irrigation plays a vital role in the productivity and growth of agriculture, consuming no less than 75% of fresh water utilization globally. Irrigation, being the largest consumer of water across the globe, needs refinements in its process, and because it is implemented by individuals (farmers), the use of water for irrigation is not effective. To enhance irrigation management, farmers need to keep track of information such as soil type, climatic conditions, available water resources, soil pH, soil nutrients, and soil moisture to make decisions that resolve or prevent agricultural complexity. Irrigation, a data-driven technology, requires the integration of emerging technologies and modern methodologies to provide solutions to the complex problems faced by agriculture. The paper is an overview of IoT-enabled modern technologies through which irrigation management can be elevated. This paper presents the evolution of irrigation and IoT, factors to be considered for effective irrigation, the need for effective irrigation optimization, and how dynamic irrigation optimization would help reduce water use. The paper also discusses the different IoT architecture and deployment models, sensors, and controllers used in the agriculture field, available cloud platforms for IoT, prominent tools or software used for irrigation scheduling and water need prediction, and machine learning and neural network models for irrigation. Convergence of the tools, technologies and approaches helps in the development of better irrigation management applications. Access to real-time data, such as weather, plant and soil data, must be enhanced for the development of effective irrigation management applications.

【 授权许可】

Unknown