Researchers in China have developed a robot that uses electrodes to 'touch' plant leaves, measuring surface texture and water content for species identification.
The robot identified ten different plant species with an average accuracy of 97.7%, detecting the flowering bauhinia plant with 100% accuracy at various growth stages.
Zhongqian Song highlights the robot's potential in revolutionizing crop management, allowing tailored decisions on water and fertilizer, and aiding early disease detection.
Existing devices rely on visual recognition, which can be hindered by external factors like lighting and weather, making the robot's tactile approach more reliable.
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