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Smart Irrigation Enters New Era with AI and Machine Learning, says Calsense

By: Kunal Joshi

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Irrigation technology company Calsense has unveiled its roadmap for the future of smart irrigation. The company’s seven-phase plan involves integrating artificial intelligence and machine learning with human expertise to optimise efficiency and reduce waste of water and labour. The roadmap includes predictive analytics that will identify irrigation system issues before they become major problems, and the use of natural language and generative AI to create intuitive interfaces to aid adoption of smarter technologies. The roadmap also involves conventional smart irrigation, which uses data such as weather, soil, topography and plant type to schedule irrigation, as well as a pay-per-use service model and location-based asset management of irrigation and associated equipment.

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Frequently Asked Questions (FAQs) Related to the Above News

What is Calsense's roadmap for the future of irrigation technology?
Calsense's roadmap involves integrating artificial intelligence and machine learning with human expertise to optimise efficiency and reduce waste of water and labour.

What are some features included in Calsense's roadmap?
Some features included in Calsense's roadmap are predictive analytics to identify irrigation system issues, use of natural language and generative AI to create intuitive interfaces, conventional smart irrigation using data such as weather, soil, topography and plant type, a pay-per-use service model, and location-based asset management of irrigation and associated equipment.

How does Calsense plan to reduce waste of water and labour?
Calsense plans to reduce waste of water and labour by integrating artificial intelligence and machine learning with human expertise, using predictive analytics to identify system issues before they become major problems, and using conventional smart irrigation that schedules irrigation based on data such as weather, soil, topography and plant type.

What is the benefit of using natural language and generative AI for irrigation systems?
The benefit of using natural language and generative AI for irrigation systems is creating intuitive interfaces that aid adoption of smarter technologies.

Are there any location-based features in Calsense's roadmap?
Yes, Calsense's roadmap includes location-based asset management of irrigation and associated equipment.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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Kunal Joshi
Kunal Joshi
Meet Kunal, our insightful writer and manager for the Machine Learning category. Kunal's expertise in machine learning algorithms and applications allows him to provide a deep understanding of this dynamic field. Through his articles, he explores the latest trends, algorithms, and real-world applications of machine learning, making it accessible to all.

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