Flower Interaction Subsystem for a Precision Pollination Robot
Jared Strader, Jennifer Nguyen, Christopher Tatsch, Yixin Du, Kyle Lassak, Benjamin Buzzo, Ryan Watson, Henry Cerbone
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.
BibTeX
@inproceedings{iros2019_flowerinteractio,
title = {Flower Interaction Subsystem for a Precision Pollination Robot},
author = {Jared Strader and Jennifer Nguyen and Christopher Tatsch and Yixin Du and Kyle Lassak and Benjamin Buzzo and Ryan Watson and Henry Cerbone and Nicholas Ohi and Chizhao Yang and Yu Gu},
booktitle = {IROS 2019},
year = {2019}
}