  This paper describes steps taken to develop a sensing module for a robotic
kiwifruit flower pollinator, which could be integrated into an imaging module
and a spray module. The paper described different indicators to present the
performance of the sensing module that can be used as a benchmark. The sensing
module provides data for the imaging module to detect kiwifruit flower reliably
and accurately in the canopy. Four major challenges for a sensing module is the
speed, accuracy, visibility, and robustness to variable lighting conditions.
Regarding these issues, Basler acA1920-40uc camera with an LM6HC lens were
selected from a list of fast cameras and lenses based on different parameters.
The sensing module was tested in four orchards and captured 9128 images.
According to the saturation rate parameter, the captured images were typical in
96% of conditions and the rest were glare due to the sunny weather and early
season. The camera speed and field of view guarantee that in the highest speed
of the robot a flower can be seen at least in three images in normal
conditions. The sensing module was calibrated with less than 3 mm error and
integrated to the spray module. The pollinator module was mounted on a robot
and tested in the real world and achieved 79.5% hit rate at an average velocity
of 3.5 km/h.
