A lightweight SSV2-YOLO based model for detection of sugarcane aphids in unstructured natural environments

Author:

Xu WeiyueORCID,Xu Tao,Alex Thomasson J.,Chen Wei,Karthikeyan Raghupathy,Tian Guangzhao,Shi Yeyin,Ji Changying,Su QiongORCID

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference58 articles.

1. Date fruit classification for robotic harvesting in a natural environment using deep learning;Altaheri;IEEE Access.,2019

2. A smart insect pest detection technique with qualified underground wireless sensor nodes for precision agriculture;Bayrakdar;IEEE Sens. J.,2019

3. Agricultural robots for field operations. Part 2: Operations and systems;Bechar;Biosyst. Eng.,2017

4. Benjumea, A., Teeti, I., Cuzzolin, F., Bradley, A., 2021. YOLO-Z: Improving small object detection in YOLOv5 for autonomous vehicles. arXiv preprint arXiv:2112.11798.

5. Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M., 2020. YOLOv4: Optimal speed and accuracy of object detection. arXiv preprint arXiv:2004.10934.

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