Several scientific papers have recently been published and presented, showcasing ongoing research in the field of computer vision, artificial intelligence, and precision agriculture with a focus on olive cultivation.

• “Evaluation of Deep Neural Network Architectures and Image Datasets for Olive Fruit Detection” Authors: Musić, Sikora, Bonković, Papić Presented on September 20, 2025, at the SoftCOM 2025 Conference.

• “Optimizing Olive Detection via YOLOv8 and Active Learning: Benefits of Uncertainty-Based and Missed-Detection Sampling Strategies” Authors: Bonković, Uvodić, Cecić, Kuzmanić Skelin Presented on September 20, 2025, at the SoftCOM 2025 Conference.

• “Monocular Depth Estimation Driven Canopy Segmentation for Enhanced Determination of Vegetation Indices in Olive Grove Monitoring” Authors: Papić, Bugarin, Marin, Gotovac, Gugić Published in Remote Sensing on September 19, 2025 https://doi.org/10.3390/rs17183245

These contributions reflect significant progress in applying modern AI and computer vision methods to agricultural challenges, particularly in olive grove monitoring and yield estimation.