This study utilized text mining analysis to identify keywords used in the research of gray mold (Botrytis cinerea), taking into account horticultural crops, environmental or physical treatments, and chemical or material factors. Data spanning from 1980 to 2021 was gathered from ScienceON and interpreted using word cloud visualization analysis following post-processing. Morphological analysis and coding were conducted using the text mining packages library tm provided by the R program. Our review of B. cinerea included and analyzed 7,342 papers. Among the extracted words, those related to crops and ranking in the top 10 were tomato, strawberry, grape, apple, cucumber, bean, kiwifruit, rose, pepper, and pear. roses were the only flower in the top 10 horticultural crops. Research has explored environmental or physical treatment factors such as storage, temperature, cold, seasons, humidity, heat/hot UV-C, sprays, films, and coatings. Chemical or material words included fungicide, chitosan, ethylene, oil, ROS, ABA, VOC, glucose, carbon, and ethanol.

Introduction
Materials and Methods
    Search and article selections
    Data analysis
    Results and Discussion
Acknowledgment
References

• Yong Kyun Lee(Institute of Future Convergence Technologies, Korea East-West Power Co., Ltd., Ulsan 44543, Korea)
• Young Boon Lee(Department of Horticulture, Chonnam National University, Gwangju 61186, Korea) Corresponding author