Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat
- Author
- Sofie Landschoot (UGent) , Kris Audenaert (UGent) , Willem Waegeman (UGent) , Bernard De Baets (UGent) and Geert Haesaert (UGent)
- Organization
- Keywords
- web tool, disease forecasting, fusarium, winter wheat
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-3260078
- MLA
- Landschoot, Sofie, et al. “Plant Disease Prediction Using Data Mining and Machine Learning: A Case Study on Fusarium Head Blight and Deoxynivalenol Content in Winter Wheat.” European Fusarium Seminar, 12th, Abstracts, 2013, pp. 75–75.
- APA
- Landschoot, S., Audenaert, K., Waegeman, W., De Baets, B., & Haesaert, G. (2013). Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat. European Fusarium Seminar, 12th, Abstracts, 75–75.
- Chicago author-date
- Landschoot, Sofie, Kris Audenaert, Willem Waegeman, Bernard De Baets, and Geert Haesaert. 2013. “Plant Disease Prediction Using Data Mining and Machine Learning: A Case Study on Fusarium Head Blight and Deoxynivalenol Content in Winter Wheat.” In European Fusarium Seminar, 12th, Abstracts, 75–75.
- Chicago author-date (all authors)
- Landschoot, Sofie, Kris Audenaert, Willem Waegeman, Bernard De Baets, and Geert Haesaert. 2013. “Plant Disease Prediction Using Data Mining and Machine Learning: A Case Study on Fusarium Head Blight and Deoxynivalenol Content in Winter Wheat.” In European Fusarium Seminar, 12th, Abstracts, 75–75.
- Vancouver
- 1.Landschoot S, Audenaert K, Waegeman W, De Baets B, Haesaert G. Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat. In: European Fusarium Seminar, 12th, Abstracts. 2013. p. 75–75.
- IEEE
- [1]S. Landschoot, K. Audenaert, W. Waegeman, B. De Baets, and G. Haesaert, “Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat,” in European Fusarium Seminar, 12th, Abstracts, Bordeaux, Frankrijk, 2013, pp. 75–75.
@inproceedings{3260078, author = {{Landschoot, Sofie and Audenaert, Kris and Waegeman, Willem and De Baets, Bernard and Haesaert, Geert}}, booktitle = {{European Fusarium Seminar, 12th, Abstracts}}, keywords = {{web tool,disease forecasting,fusarium,winter wheat}}, language = {{eng}}, location = {{Bordeaux, Frankrijk}}, pages = {{75--75}}, title = {{Plant disease prediction using data mining and machine learning: a case study on Fusarium head blight and deoxynivalenol content in winter wheat}}, year = {{2013}}, }