The system helps grow plants in water-based (hydroponic) systems by automatically monitoring and adjusting their environment. Wireless sensors placed in the plant's growing medium continuously check temperature, water levels, and nutrient content. This information goes to a central computer, which compares it to ideal conditions and then tells an irrigation system exactly how much water or nutrients to provide. There's also a handheld device to view the sensor readings and manage the system.
Why it matters: Filed before the widespread availability of low-cost IoT sensors and accessible cloud-based AI for agricultural optimization. The "predefined irrigation data" could now be dynamically generated and refined by machine learning models, making the system more adaptive and precise.
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