| dc.contributor.author | Mensah, Bright | |
| dc.description.abstract | The effective identification of herbicide-resistant kochia in sugar beet fields is crucial for adopting sustainable weed management strategies. A study was conducted in a greenhouse and in field to record hyperspectral data of dicamba-resistant, glyphosate-resistant, and glyphosate-susceptible kochia biotypes in sugar beet. Hyperspectral data was captured within the wavelength of 400 – 1000 nm and preprocessed with Savitzky-Golay filter and Standard Normal Variate in a sequential order. Recursive feature elimination-random forest (RFE-RF) feature selection algorithm was used to select ten informative wavelengths bands from 224 bands. Subsequently, the selected features were trained on a fully connected neural network to classify dicamba-resistant, glyphosate-resistant, glyphosate-susceptible and sugar beet. The findings revealed that a combination of hyperspectral imaging and deep neural network can effectively distinguish sugar beet from herbicide-resistant kochia biotypes under varying environmental conditions. The trained deep neural network achieved classification accuracies of 93.27% in the greenhouse experiment and 98.76% in the field. | en_US |
| dc.publisher | North Dakota State University | en_US |
| dc.rights | NDSU policy 190.6.2 | en_US |
| dc.title | Classification of herbicide-resistant and susceptible kochia in sugarbeet using hyperspectral and machine learning techniques | en_US |
| dc.type | Thesis | en_US |
| dc.date.accessioned | 2024-10-31T19:34:39Z | |
| dc.date.available | 2024-10-31T19:34:39Z | |
| dc.date.issued | 2024-07 | |
| dc.identifier.uri | https://hdl.handle.net/10365/34023 | |
| dc.subject | Features Selection | en_US |
| dc.subject | Herbicide-resistant kochia | en_US |
| dc.subject | Hyperspectral imaging | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Weed identification | en_US |
| dc.rights.uri | https://www.ndsu.edu/fileadmin/policy/190.pdf | en_US |
| ndsu.degree | Master of Science (MS) | en_US |
| ndsu.college | Engineering | en_US |
| ndsu.department | Agricultural and Biosystems Engineering | en_US |
| ndsu.advisor | Sun, Xin | |
