Name
Namedr. J Hemming
FirstnameJochen
Emailjochen.hemming@wur.nl

Job details
DescriptionSenior Researcher, Computer Vision & Robotics in Horticulture
OrganizationWageningen Plant Research
Organization UnitGTB Teelt & Gewasfysiologie
Phone+31 317 486 710
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Phone 2
Fax+31 317 423 110
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Visiting addressDroevendaalsesteeg 1
6708PB, WAGENINGEN
Building/Room107/W2.Bd.065
Postal addressPostbus 644
6700AP, WAGENINGEN
Courier54
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Biography

Dr. Jochen Hemming (1969) received his MSc degree in 1996 and a PhD degree in 2000 in Horticultural Science from the University of Hannover, Germany. After that he started to work at the contract research part of Wageningen University & Research in the Netherlands. In his current position as Senior Researcher Computer Vision and Robotics in Horticulture he works in large European projects on robotic harvesting and plant manipulation and is project leader of a number of national research projects. His research is focused on developing new robotic and mechatronic solutions and on the optimization of existing concepts together with industry and international partners. Two key ingredients in this field are machine vision and artificial intelligence which are used to control robots, to sort, and to assess the quality of horticultural and food products and to detect pests and diseases.


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  Jochen Hemming on Linkedin

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Projects

The TrimBot2020 is an EU funded project that will research the robotics and vision technologies to prototype the first outdoor garden trimming robot. The robot will navigate over varying terrain, approach rose bushes, hedges and boxwood topiary, to trim them to an ideal shape.

 

C-IPM project Pest Management tool for tomato and pepper in Europe (PeMaTo-EuroPep). Proper pest monitoring is the basis of good biological control. Knowledge of the ratio of pest and beneficial insects is indispensable for determining the necessary control strategy. In PeMaTo-EuroPep, Wageningen University & Research (WUR) develops advanced camera and computer vision systems for pest monitoring. A mobile semi-automatic image acquisition trolley for the greenhouse was developed. Moreover, a deep-learning based image analysis system is currently under development that automatically recognizes and counts whiteflies and predatory bugs on images taken of yellow sticky traps.

EU project SWEEPER (Sweet-pepper harvesting robot). SWEEPER’s main objective is to put the first generation greenhouse harvesting robots onto the market. SWEEPER optimises the cultivation system by simplifying the harvest through the use of a robot. In order to improve the level of the robot’s cognitive skills, crop models will be used to determine the approximate location of the peppers. This ‘model-based vision’ will improve and accelerate fruit detection.

Intelligent sensing and manipulation for sustainable production and harvesting of high value crops). CROPS (Clever Robots for Crops) was a large-scale integrating FP7 EU research project in the theme Nanotechnologies, Materials and new Production Technologies within the call: Automation and robotics for sustainable crop and forestry management.
The project started in October 2010 and was accomplished in September 2014.

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