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Published in 2026 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2025.3636279
Abstract: With the rapid development of uncrewed aerial vehicle (UAV) technology, UAVs have provided an innovative solution for floating debris monitoring. However, object detection in UAV images remains challenging due to high miss rates for small…
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Keywords:
detection;
efd yolo;
object detection;
improved yolov8 ... See more keywords
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Published in 2025 at "Agriculture"
DOI: 10.3390/agriculture15020159
Abstract: Walnut detection in mountainous and hilly regions often faces significant challenges due to obstructions, which adversely affect model performance. To address this issue, we collected a dataset comprising 2379 walnut images from these regions, with…
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Keywords:
detection;
yolo improved;
improved yolov8s;
yolov8s lightweight ... See more keywords
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Published in 2025 at "Foods"
DOI: 10.3390/foods14234154
Abstract: Accurate fig detection in complex environments is a significant challenge. Small targets, occlusion, and similar backgrounds are considered the main obstacles in intelligent harvesting. To address this, this study proposes Fig-YOLO, an improved YOLOv11n-based detection…
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Keywords:
detection;
fig yolo;
detection algorithm;
fig detection ... See more keywords
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Published in 2025 at "Plants"
DOI: 10.3390/plants14162587
Abstract: Accurate detection of cherry tomato clusters and their ripeness stages is critical for the development of intelligent harvesting systems in modern agriculture. In response to the challenges posed by occlusion, overlapping clusters, and subtle ripeness…
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Keywords:
cherry;
greenhouse environments;
ripeness stages;
afbf yolo ... See more keywords