CropX Completes API-Integration with Talgil to Streamline Irrigation Management

CropX, a leading provider of digital solutions for agronomic farm management, has recently announced the successful API-integration with Talgil, a global producer of irrigation control systems with customers in more than 80 countries. By connecting Talgil controllers with CropX agronomic farm management system, users can now streamline their irrigation management process without having to navigate multiple user interfaces.

With this integration, users of CropX’s agronomic farm management system can conveniently access their Talgil irrigation controllers from the CropX platform to schedule irrigation applications. Talgil irrigation controllers are compatible with various types of irrigation systems, while CropX connects soil data to the sky to provide advanced AI-powered agronomic insights on irrigation, disease control, nutrition, and more through a mobile and desktop app.

Through this digital integration, CropX users can now schedule remote irrigation applications from their Talgil controllers directly from within the CropX system. The CropX platform offers recommendations on when, where, and how much to irrigate, and Talgil users can easily schedule the recommended irrigation. The as-applied irrigation data can be imported back into the CropX system for record-keeping.

According to Matan Rahav, Vice President of Business Development at CropX, “Knowledge is power, and CropX makes that power even more potent when it can connect immediately with the irrigation system to put that knowledge into action. This is the latest connection in a broad strategy to connect machine data and activate it for the benefit of the grower.”

Yosee Ochman, Deputy General Manager at Talgil, added that “Integrating CropX’s decision support system with Talgil Computing & Control irrigation control systems leads to precise and efficient use of water resources, cost savings, and improved sustainability. It empowers farmers with real-time data and predictive analytics to make informed decisions about when and how much to irrigate, optimizing crop yields and mitigating environmental impact.”

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