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What to Consider When Developing a Water Management Software Solution

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What to Consider When Developing a Water Management Software Solution

Want to improve your water conservation techniques? Click here to read more about using IoT technology to implement water management software solutions.

· IoT Zone ·
Free Resource

Software-based solutions for agricultural water conservation is dependent on the synchronicity of several disparate technologies. By embracing the Internet of Things (IoT) movement, big data analytics, decision support systems, and a robust network infrastructure, water conservation systems help save growers money while improving precision agriculture efforts.

IoT-based water management networks typically consist of four components: gateways, sensors, a communications infrastructure, and a centralized database used for Business Intelligence (BI).

Sensors 

Water management sensors collect data pertaining to a total water consumption, soil moisture, air humidity, climate conditions, and potential contaminants. This data is then uploaded to water management dashboards using interoperable programming interfaces, typically written in Java or C.

Gateways

Gateways are intermediary hubs that verify and reconfigure data before it moves on to the central repository. This reduces the chance of hacking or data manipulation, thanks to highly targeted security encryptions. Custom gateways offer numerous benefits to IoT systems, including longer battery lives, more complex data pre-processing, and robust security protocols.

Communication Architecture 

Common wireless communications for agricultural and water management networks include satellite, cellular, and Low Power Wide Area Networks (LPWAN). While LPWANs offer low bandwidth, the sensors that they are pulling data from do not require much. Combined with sensor gateways, LPWAN facilitates a network programmed for minimal energy usage and maximum data extraction.

Big Data, Analytics, and Decision Support

Making the most of big data requires software that can handle both structured and unstructured data, multiple data mining techniques, and predictive or query-based task management. Decision Support Systems (DSS) are a branch of BI software that can be customized to offer mission-critical process advice, specifically for water management and precision agriculture operations. Big data DSS’s process inputs from a host of different sources and generate graphical representations of actionable insights.

Professional developers with experience programming and implementing water management applications are your best bet when considering a custom software solution.

Topics:
IoT ,water conservation ,water management ,Java ,C ,lpwan

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