Oxbo Automated Pea Harvester Settings With Computer Vision
New camera-based system adjusts machine threshing in real-time to optimize crop quality and reduce operator load.
Updated on Oct. 13, 2026 in Robotics
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Oxbo has integrated its AutoHarvest computer vision technology into pea harvesters to automate machine adjustments. This research-stage system uses five cameras to monitor crop quality and dynamically tune threshing intensity.
Why it matters
The technology addresses the challenge of manual machine adjustment in fluctuating field conditions, potentially improving yield efficiency. It automates complex decision-making, allowing operators to focus on other tasks while maintaining consistent harvester performance.
The system employs an image-recognition model that analyzes input from five cameras positioned throughout the harvester, including at the picking head and hopper entrance, to distinguish between whole and split peas. This data feeds a feedback loop that automatically adjusts the threshing aggression of the machine's friction-based system.
The players
Oxbo
A developer of specialized harvesting machinery focused on automating agricultural processes through machine vision and robotics.
Wageningen University & Research
An academic institution focusing on agricultural science and food production research that collaborated on the NxtGen Hightech funding programme.
The details
The AutoHarvest system replaces standard manual controls by continuously assessing performance through camera analysis. By identifying crop status every few seconds, the harvester adjusts its internal mechanics to respond to changing harvest conditions. The prototype is based on the Oxbo GP6300, a harvester model launched in 2025, and utilizes friction threshing rather than traditional impact methods to minimize damage to the crop.
Timeline
2025: Oxbo launched the GP6300 harvester model used for this prototype.
2027: Pre-series pea machines are expected to remain in customer testing.
2028: A full commercial launch of the pea harvester technology is currently targeted.
The Tech Race
This development follows the research trajectory set by the NxtGen Hightech funding programme, which provides the financial and technical infrastructure for integrating advanced robotics into legacy agricultural hardware. Oxbo is currently competing to define the standard for autonomous crop-specific harvesting systems before expanding the technology to green beans.
Commercial farmers and operators should expect the automated technology to reach the market following the conclusion of pre-series testing in 2027. The system is designed to integrate into existing harvester workflows, though broad commercial availability depends on the successful 2028 launch timeline.
The takeaway
Oxbo is shifting agricultural harvesting from manual operation to automated, vision-based control to improve crop consistency. Observers should track the 2028 commercial launch and the company's planned expansion of the AutoHarvest system into green bean harvesting.
Further reading
For more on the latest advancements in machine autonomy, see Robotics.
Source note: This article includes information reported by Farmers Weekly.
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