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Flower Interaction Subsystem for a Precision Pollination Robot

Jared Strader, Jennifer Nguyen, Christopher Tatsch, Yixin Du, Kyle Lassak, Benjamin Buzzo, Ryan M. Watson, Henry Cerbone, Nicholas Ohi, Chizhao Yang, Yu Gu

Year
2019
Citations
35

Abstract

Robotic pollinators not only can aid farmers by providing more cost effective and stable methods for pollinating plants but also benefit crop production in environments not suitable for bees such as greenhouses, growth chambers, and in outer space. Robotic pollination requires a high degree of precision and autonomy but few systems have addressed both of these aspects in practice. In this paper, a fully autonomous robot is presented, capable of precise pollination of individual small flowers. Experimental results show that the proposed system is able to achieve a 93.1% detection accuracy and a 76.9% `pollination' success rate tested with high-fidelity artificial flowers.

Keywords

PollinationGreenhouseRobotPollinatorComputer scienceAgricultural engineeringArtificial intelligenceBiologyEngineeringAgronomy

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