Department of Engineering

• Published

  A novel spatio-temporal FCN-LSTM Network for Recognizing Various Crop Types Using Multi-Temporal Radar Images

  Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

• Published

  Autonomous Mapping of Grass-Clover Ratio Based on Unmanned Aerial Vehicles and Convolutional Neural Networks

  Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research

• Published

  Predicting Dry Matter Composition of Grass Clover Leys Using Data Simulation and Camera-based Segmentation of Field Canopies into White Clover, Red Clover, Grass and Weeds

  Research output: Contribution to conference › Conference abstract for conference › Research › peer-review

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• RoboWeedMaPS - Automated Weed detection, Mapping and Variable Precision Control of Weeds

  Project: Research

• SAFE - Safer Autonomous Farming Equipment

  Project: Research

• Game-friendly harvesting methods

  Project: Research

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• Fremtidens landbrug er digital og højteknologisk. Den teknologiske udvikling skaber bedre vilkår for både landbrug og miljø, som fx. bedre høst og brug af færre sprøjtemidler.

  Activity: Talk or presentation types › Lecture and oral contribution

• Forskning i teknologier til behovsbestemt sprøjtning

  Activity: Talk or presentation types › Lecture and oral contribution

• EWRS Summer School at Czech University of Life Sciences

  Activity: Participating in or organising an event types › Participation in or organisation of workshop, seminar or course

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• Best Presentation / Paper Award

  Prize: Prizes, scholarships, distinctions

• Innovation and Development Award 2016

  Prize: Prizes, scholarships, distinctions

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• Fremtidens landbrug bliver med droner og robotter

  Press/Media: Press / Media

• Status over fremtidens præcisionsjordbrug

  Press/Media: Press / Media

• Landmænd fra hele landet fik vist ny teknologi

  Press/Media: Press / Media

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