10 papers
Improving greenhouse fruit-production control by integrating reinforcement learning into short-horizon model predictive control
Bart van Laatum, Salim Msaad, Eldert J. van Henten +2
Greenhouse fruit-production control aims to maximize the economic performance (fruit revenue minus operating costs) while operating within system constraints under external weather…
Enhancing annotations for 5D apple pose estimation through 3D Gaussian Splatting (3DGS)
Robert van de Ven, Trim Bresilla, Bram Nelissen +3
Automating tasks in orchards is challenging because of the large amount of variation in the environment and occlusions. One of the challenges is apple pose estimation, where key po…
Lameness detection in dairy cows using pose estimation and bidirectional LSTMs
Helena Russello, Rik van der Tol, Eldert J. van Henten +1
This study presents a lameness detection approach that combines pose estimation and Bidirectional Long-Short-Term Memory (BLSTM) neural networks. Combining pose-estimation and BLST…
Video-based automatic lameness detection of dairy cows using pose estimation and multiple locomotion traits
Helena Russello, Rik van der Tol, Menno Holzhauer +2
This study presents an automated lameness detection system that uses deep-learning image processing techniques to extract multiple locomotion traits associated with lameness. Using…
UAV-based path planning for efficient localization of non-uniformly distributed weeds using prior knowledge: A reinforcement-learning approach
Rick van Essen, Eldert van Henten, Gert Kootstra
UAVs are becoming popular in agriculture, however, they usually use time-consuming row-by-row flight paths. This paper presents a deep-reinforcement-learning-based approach for pat…
Adaptive path planning for efficient object search by UAVs in agricultural fields
Rick van Essen, Eldert van Henten, Lammert Kooistra +1
This paper presents an adaptive path planner for object search in agricultural fields using UAVs. The path planner uses a high-altitude coverage flight path and plans additional lo…