Research published online on 15 October 2026 in Smart Agricultural Technology investigated how cucumber plant structure affects a six-degree-of-freedom harvesting robot. Rather than treating perception and manipulation solely as machinery problems, the authors analysed characteristics of the crop that determine whether a robot can approach and grasp fruit.
The paper identifies fruit-stalk length, the number of fruits per node and fruit position as important influences. In the authors’ experiments, a selected “Proloog” plant ideotype increased harvesting success by a factor of 2.4, while simplifying the canopy architecture reduced average cycle time by about 60%. The paper reports that approach and grasping issues accounted for most harvesting errors.
These are results under the investigated greenhouse conditions. The source does not establish that the same advantage transfers unchanged to every cucumber variety, training system or commercial machine.
