| Title |
Ligotų kviečių atpažinimo metodų tyrimas / |
| Translation of Title |
Research of diseased wheat recognition methods. |
| Authors |
Grigonis, Vaidas |
| Full Text |
|
| Pages |
44 |
| Keywords [eng] |
TensorFlow library ; Faster R-CNN ; R-FCN |
| Abstract [eng] |
Agro – industry sector plays an important role in today‘s economy. Agricultural production is easily affected by various plant diseases that cause ecological and economical damage. So, as in many areas, no exceptions in agriculture, the aim is to apply advanced technical solutions to achieve greater efficiency. The paper analyzes the literature, which describes the review of research in the world of science on a related topic. This work also includes studies to evaluate the effectivnes of different structures in recognizing wheat leaves and stems affected by rust disease. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2021 |
