SHAPE - Strawberry Harvester for Polytunnels and Open Fields

SHAPE - Strawberry Harvester for Polytunnels and Open Fields

The SHAPE project will develop a fully autonomous harvester for strawberry production in polytunnels and open fields.

prosjekt

About/Aims
Background

Labour shortage is one of the major concerns for strawberry growers around the globe. There is thus a need for new technology to help growers automate this process. The SHAPE project builds on existing developments within the consortium that puts us in a unique position to close the technological gaps needed to make these systems useful for farmers around the world.

Objective

The first challenge that needs to be solved is robust and reliable mobility in the field, which is an unstructured environment. The consortium has already developed the Thorvald robot, which is capable of moving autonomously in both polytunnels and open fields.

The second large challenge is the identification and picking of the strawberry using a robotic arm. The berries need to be accurately localized in the field. We find the berries using a deep neural network and find the location in the three-dimensional space using 3D camera. The consortium has developed a novel and patent-pending gripper that will be used in the project. The gripper picks the berries by surrounding them entirely before picking. This makes us able to pick berries in the presence of
uncertainties and moving berries.

The project will also develop methods for determining the ripeness prior to picking the berry. We will equip the gripper with internal sensors that can estimate the ripeness of the berries and evaluate the quality in a enclosed and controlled environment before harvesting. Advanced machine learning
will be used to give the robot the ability to reason and make decisions in the field, substantially improving the current state-of-the-art by inspecting each and every berry before picking. This will guarantee that diseased berries are not picked and ensure online quality control and grading of the berries.

Finally, the project will develop full on-robot and off-robot logistics of the harvested berries.