University of Kentucky researchers are developing an autonomous robot designed to help greenhouse growers monitor tomato plants while reducing labor requirements. Biyun Xie, an engineering professor, is leading the project through a nearly $1.2 million National Science Foundation grant. The system combines robotics, artificial intelligence, computer vision and wireless power technology, according to the university and HortiDaily. A mobile robotic arm will travel greenhouse rows and capture images inside plant canopies. Artificial intelligence will analyze characteristics including fruit number, size, maturity, health and canopy structure, helping growers make production decisions without damaging plants. University records show the NSF-funded project runs through June 2028 and received $1.18 million. Researchers also plan wireless charging that would allow continuous operation. Xie said the technology could eventually support automated fruit harvesting and leaf pruning, expanding its potential uses beyond tomato monitoring.
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