Phenotypic Image Recognition of Asparagus Stem Blight Based on Improved YOLOv8
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Abstract
Asparagus stem blight, also known as “asparagus cancer”, is a serious plant disease with a regional distribution. The widespread occurrence of the disease has had a negative impact on the yield and quality of asparagus an... | Find, read and cite all the research you need on Tech Science Press
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OpenAlex topics: Remote Sensing and Land Use
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References (23)
Show source-provided references
1. Biological characteristics of asparagus stem blight pathogen
2. Identification of pathogens causing asparagus stem blight and analysis of regional differences
3. Application of machine learning in plant disease identification research10.3901/JME.2004.07.171 ↗
4. Plant disease detection techniques: A review
5. S. Song, “Research on image recognition method of apple leaf disease in the Loess Plateau,” M.S. dissertation, Northwest Agriculture and Forestry University, Xianyang, China, 2017.
6. Support-vector networks10.1007/BF00994018 ↗
7. Ophiopogon japonicus leaf disease recognition system based on PCA-SVM
8. Prediction of apple leaf diseases using multiclass support vector machine
9. Y. Wan, “Rice disease recognition based on convolutional neural network,” M.S. dissertation, Jiangxi Agricultural University, China, 2021.
10. Fast R-CNN
11. Faster R-CNN: Towards real-time object detection with region proposal networks10.1109/TPAMI.2016.2577031 ↗
12. Recognizing stripe rust and yellow dwarf of wheat using improved Faster R-CNN
13. Automatic detection and classification of leaf spot disease in sugar beet using deep learning algorithms10.1016/j.physa.2019.122537 ↗
14. Recognizing apple leaf diseases using a novel parallel real-time processing framework based on MASK RCNN and transfer learning: An application for smart agriculture10.1049/ipr2.12183 ↗
15. You only look once: Unified, real-time object detection
16. SSD: Single shot multibox detector10.1007/978-3-319-46448-0_2 ↗
17. Plant disease recognition model based on improved YOLOv5
18. Tomato diseases and pests detection based on improved Yolo V3 convolutional neural network
19. Recognition of tea diseases based on improved YOLOv4 model
20. Rice disease detection method based on improved YOLOv8
21. An improved YOLOv8 algorithm for leaf disease detection
22. A lightweight YOLOv8 tomato detection algorithm combining feature enhancement and attention
23. Optimizing tomato plant phenotyping detection: Boosting YOLOv8 architecture to tackle data complexity10.1016/j.compag.2024.108728 ↗