Gert Kootstra

Associate Professor

Wageningen University & Research

Netherlands

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Gert Kootstra is an Associate Professor at Wageningen University and Research in the Netherlands. His research areas include UAV-based path planning, image-based detection techniques, and remote sensing for agriculture. He has contributed to recent articles focusing on the use of reinforcement learning for weed localization, fish species classification, and advanced methods for 3D tracking in greenhouse robotics.

Gert Kootstra

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Articles (22)

Novelty Recognition: Fish Species Classification via Open-Set Recognition

UAV-based path planning for efficient localization of non-uniformly distributed weeds using prior knowledge: A reinforcement-learning approach

Multi-stage image-based approach for fish detection and weight estimation

Automated and non-destructive estimation of soluble solid content of tomatoes on the plant under variable light conditions

Attention-driven next-best-view planning for efficient reconstruction of plants and targeted plant parts

Improving Radiometric Block Adjustment for UAV Multispectral Imagery under Variable Illumination Conditions

Video-based automatic lameness detection of dairy cows using pose estimation and multiple locomotion traits

3D pose estimation of tomato peduncle nodes using deep keypoint detection and point cloud

Stereo Vision for Plant Detection in Dense Scenes

Advanced Robotic System for Efficient Pick-and-Place of Deformable Poultry in Cluttered Bin: A Comprehensive Evaluation Approach

Semantics-aware next-best-view planning for efficient search and detection of task-relevant plant parts

UAV multispectral remote sensing for agriculture: A comparative study of radiometric correction methods under varying illumination conditions

A Comparison Between Single-Stage and Two-Stage 3D Tracking Algorithms for Greenhouse Robotics

The added value of 3D point clouds for digital plant phenotyping – A case study on internode length measurements in cucumber

Development and evaluation of automated localisation and reconstruction of all fruits on tomato plants in a greenhouse based on multi-view perception and 3D multi-object tracking

Passive radio frequency identification and video tracking for the determination of location and movement of broilers

Dynamic Viewpoint Selection for Sweet Pepper Maturity Classification Using Online Economic Decisions

Evaluation of a boxwood topiary trimming robot

Boosting plant-part segmentation of cucumber plants by enriching incomplete 3D point clouds with spectral data

Selective Harvesting Robotics: Current Research, Trends, and Future Directions

The effect of data augmentation and network simplification on the image‐based detection of broccoli heads with Mask R‐CNN

Robust node detection and tracking in fruit-vegetable crops using deep learning and multi-view imaging

Collaborators (10)

Gerrit Polder

Malou van der Sluis

Ricardo Torres

Akshay Kumar Burusa

Pieter Blok

van Henten E.J.

Aniek Bouwman

Haris Ahmad Khan

Jos Ruizendaal

Esther Ellen

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