Halter
Max van Dijck is a Data Scientist at Halter with experience in supervised Deep Learning and Computer Vision for Object Detection and Pose Estimation. Prior to this role, Max was an R&D Intern at Integrated Control Technology. Max holds a Bachelor of Creative Technologies in Future Environments and is pursuing a Postgraduate Certificate in Computer Science at Auckland University of Technology.
Halter
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The modern way to farm. Virtual fencing, fenceless farming, automatic shifting, heat detection and environmental controls.