Name
Title | ||
|---|---|---|
Plant discrimination by Support Vector Machine classifier based on spectral reflectance. |
Abstract | ||
|---|---|---|
•A system is proposed to classify broad leaf and narrow leaf plants at high speed.•The developed SVM classifier greatly improves accuracy over NDVI based classifiers.•Accuracy improved further using raw reflected intensities and kernel tricks.•Overall plant discrimination accuracy of 97% achieved. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compag.2018.03.026 | Computers and Electronics in Agriculture |
Keywords | Field | DocType |
Precision agriculture,Vegetation classification,Support Vector Machine (SVM),Weed-crop discrimination,Machine learning | Computer vision,Vegetation,Pattern recognition,Support vector machine classifier,Support vector machine,Precision agriculture,Gaussian,Normalized Difference Vegetation Index,Vegetation classification,Artificial intelligence,Engineering,Reflectivity | Journal |
Volume | ISSN | Citations |
148 | 0168-1699 | 3 |
PageRank | References | Authors |
0.39 | 10 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saman Akbarzadeh | 1 | 3 | 0.39 |
| A. Paap | 2 | 6 | 1.29 |
| Selam T. Ahderom | 3 | 3 | 1.74 |
| Beniamin Apopei | 4 | 3 | 0.39 |
| Kamal Alameh | 5 | 10 | 9.78 |