SalinitySense is a system that integrates advanced sensors and IoT technology to provide real-time monitoring of water salinity levels in irrigation systems.

It uses wireless sensors distributed throughout the irrigation network to continuously measure the salinity of the water.

This data is transmitted to a central analytics platform, which uses machine learning algorithms to predict salinity spikes and recommend optimal actions such as dilution, blending, or modification in irrigation schedules.

The platform can connect with existing irrigation control systems to automate adjustments, ensuring optimal water quality reaches the crops.

The system is designed to be compatible with legacy infrastructure, allowing for seamless integration with minimal retrofitting costs.

By providing real-time monitoring and automatic management of water salinity, SalinitySense helps farmers prevent soil degradation and crop yield loss.

It reduces labor costs associated with manual testing and integrates seamlessly with existing infrastructure, offering a cost-effective solution accessible to medium and large-scale farms.

The technology for real-time data collection and IoT connectivity is well-developed, though ensuring compatibility with diverse legacy systems poses a moderate challenge.

The cost of sensors and analytics has been decreasing, while regulatory hurdles focus on ensuring data privacy and system reliability.