A Partnership to Solve Challenges in the Agri-Food Industry

The agricultural industry is facing challenges as a lack of human labor resources makes it difficult to harvest vegetables – and cucumber greenhouses are no exception. 

In order to develop a solution to harvest cucumbers as efficiently as a human, Vineland Research and Innovation Center recognized that an off-the-shelf vision system would not respond to the environmental challenges in a cucumber greenhouse.

What you'll learn

Discover how INO and Vineland Research and Innovation Center worked on the development of the customized vision aspect of the autonomous cucumber harvesting system. By reading this case study, you’ll gain insight into how they address the following challenges:

• Human-Like Efficiency; Smart Vision for Greenhouse Harvesting: Developing a vision system that would respond to the environmental challenge of a greenhouse such as cucumber identification, location, colour and harvesting efficiency – while matching the capabilities of a human greenhouse picker.  
• Developing a Customized Solution: Vineland’s cucumber harvesting project had unique needs which called for advanced 2D and 3D vision, a software interface (API) and careful integration with the harvesting robot.