Shuchen Liu (柳书臣) 1, Jie Dai (戴杰) 1, Ji Zhou (周济)1,2*
Shuchen Liu, LiushuChen@stu.njau.edu.cn, orcid: 0009-0003-3218-4473; Jie Dai, DaiJie@stu.njau.edu.cn, orcid: 0000-0002-3941-576X; Ji Zhou, Ji.Zhou@njau.edu.cn or Ji.Zhou@NIAB.com, orcid: 0000-0002-5752-5524
The main files are as follows:
(1) OFHB dataset.zip - The Wheat Fusarium head blight (OFHB) training dataset.
(2) Trained deep learning models - The YOLOv8-WFD model and Resistance classfication model.
(3) Analysis results - Resistance level evaluation result (Batch processing).
(4) Supplementary tables - Supporting materials for wheat FHB resistance evaluation platform.
(5) ultralytics - Scripts required for the YOLOv8-WFD model to run.
(6) Step1_pre_processing.ipynb - Python-based source code that contains the pre-processing(Red tags extracted).
(7) Step2_FHB_trait_analysis.ipynb - Python-based source code that contains the FHB traits extract at different scales in wheat.
(8) Step3_Resistance_evaluation.ipynb - Python-based source code that contains the model integration and resistance evaluation.
To install Python, Anaconda and Libraries If you wish to run from the source code provided in this project, you will need to set up Python on your system.
• Read the beginner’s guide to Python if you are new to the language: https://wiki.python.org/moin/BeginnersGuide
• For Windows users, Python 3 release can be downloaded via: https://www.python.org/downloads/windows/
• To install Anaconda Python distribution:
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Read the install instruction using the URL: https://docs.continuum.io/anaconda/install
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For Windows users, a detailed step-by-step installation guide can be found via: https://docs.continuum.io/anaconda/install/windows
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An Anaconda Graphical installer can be found via: https://www.continuum.io/downloads
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We recommend users install the latest Anaconda Python distribution
Some dependencies of the Jupyter notebooks:
Scikit-image=0.21;
ultralytics=8.1.24;
Pandas=2.0;
Numpy=1.24.2;
Scipy=1.9.1;
joblib=1.3.2;
OpenCV=4.8.1