Document Type : Primary Research paper
Authors
1
Associate Professor, Department of Electronics and Communication Engineering, Francis Xavier Engineering College, Tirunelveli, Tamil Nadu, India.
2
Associate Professor, Department of Hydraulic & Water Resources Engineering, School of Civil & Environmental Engineering, Ambo University, Ambo, Ethiopia.
3
Lecturer, Department of Information Technology, College of Engineering and Technology, Dambi Dollo University, Dambi Dollo, Oromia Region, Ethiopia.
4
Professor, Department of Mathematics, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, Andhra Pradesh, India.
5
Assistant Professor, Department of Architecture, Kabul Polytechnic University, 5th District, Kabul City, Afghanistan.
6
Associate Professor(Grade 2), School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
Abstract
Smart agriculture farming is the latest innovative technology in the agriculture field used in most developing countries. But all the places natural resources like water, soil, and quality of the land are not common due to the climate and organic elements presents in their land. For developing agriculture in those places water is the only resource to produce in the farming based on the quality of the water contaminants. Most of the places water quality is at a poor level due to the dissemination of the organics and chemical elements mixed in the water from the industries waste. Rainwater harvesting is also used for the development of agriculture but transforming that water to these places is a challenging task. For that, water management is the important scenario in agriculture to provide water to the plants in a correct proportionality of the contaminants. IoT-based water management is introduced in this research for finding the contaminants mixed in the water level and added nutrition whenever the quality is low. The water level given to the plant plays a vital role in agriculture if it goes high then the crop may be rotten. Nutrition level is not balanced in the water leads to affect the growth of the plant. To overcome this problem face by farmers in agriculture this research work proposed IoT-enabled water management for improving crop health in smart agriculture farming. This research work disseminates the water and nutrition to the plants continuously but the only limited amount will be delivered at a stipulated interval of time.
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