TL-YOLOv8: A Blueberry Fruit Detection Algorithm Based on Improved YOLOv8 and Transfer Learning
Author:
Affiliation:
1. College of Information Engineering, Dalian University, Dalian, China
2. College of Life and Health, Dalian University, Dalian, China
Funder
Dalian Science and Technology Innovation Fund
Dalian University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10559970.pdf?arnumber=10559970
Reference26 articles.
1. When Is the Right Moment to Pick Blueberries? Variation in Agronomic and Chemical Properties of Blueberry (Vaccinium corymbosum) Cultivars at Different Harvest Times
2. Analysis on the nutritional value and production development status of blueberries;Ding;Field Crop,2023
3. The changing landscape of U.S. strawberry and blueberry markets
4. Scale adaptive small objects detection method in complex agricultural environment: Taking bees as research object;Xiuming;Smart Agricult.,2022
5. Detecting and identifying blueberry canopy fruits based on faster R-CNN;Zhu;J. Southern Agricult.,2020
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