A Robotic System for Precision Pollination in Apples: Design, Development and Field Evaluation
<|reference_start|>A Robotic System for Precision Pollination in Apples: Design, Development and Field Evaluation: Global food production depends upon successful pollination, a process that relies on natural and managed pollinators. However, natural pollinators are declining due to different factors, including climate change, habitat loss, and pesticide use. Thus, developing alternative pollination methods is essential for sustainable crop production. This paper introduces a robotic system for precision pollination in apples, which are not self-pollinating and require precise delivery of pollen to the stigmatic surfaces of the flowers. The proposed robotic system consists of a machine vision system to identify target flowers and a mechatronic system with a 6-DOF UR5e robotic manipulator and an electrostatic sprayer. Field trials of this system in 'Honeycrisp' and 'Fuji' apple orchards have shown promising results, with the ability to pollinate flower clusters at an average spray cycle time of 6.5 seconds. The robotic pollination system has achieved encouraging fruit set and quality, comparable to naturally pollinated fruits in terms of color, weight, diameter, firmness, soluble solids, and starch content. However, the results for fruit set and quality varied between different apple cultivars and pollen concentrations. This study demonstrates the potential for a robotic artificial pollination system to be an efficient and sustainable method for commercial apple production. Further research is needed to refine the system and assess its suitability across diverse orchard environments and apple cultivars.<|reference_end|>
@article{bhattarai2024a,
    title={A Robotic System for Precision Pollination in Apples: Design,
  Development and Field Evaluation},
    author={Uddhav Bhattarai, Ranjan Sapkota, Safal Kshetri, Changki Mo, Matthew
  D. Whiting, Qin Zhang, Manoj Karkee},
    journal={arXiv preprint arXiv:2409.19918},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.19918},
    primaryClass={cs.RO}
}