IoT-based Salinity Detection Using Conductivity and Temperature for Developing Countries

Abstract

For soil salinity management, crop selection, irrigation planning, environmental impact assessment, and the advancement of agricultural research and development, saltiness data collection in agriculture is essential. The study is focused on the implementation of an Internet of Things (IoT)-based soil salinity detection system in Bangladesh, utilizing conductivity and temperature measurements. The objective of the study is to create scalable, affordable technology for real-time salinity monitoring and to deliver reliable information for successful agricultural management. Using proposed methodologies, real-time monitoring of soil saltiness and remediation activities will be made possible easily. The main findings reveal that there are significant variations in soil salinity across different regions, emphasizing the need for site-specific management strategies. The suggested solution provides a useful agricultural tool for resource management and sustainable agriculture with minimal expense, specifically targeting root-level farmers in developing countries such as Bangladesh and Myanmar.