Abstract
Boundary delineation is a rapidly evolving, significant research issue. It can be defined as identifying individual agricultural parcels and accurately outline their borders. Boundary delineation plays an important role in various application related to smart agriculture and precision farming. In this paper, a one stage deep learning method is utilized for boundary delineation. This is done by performing transfer learning and fine tuning the network using thousands of parcels. Later, the result of this network is compared to state-of-the-art models using spatially/temporally different dataset. The results are later discussed using common metrics.
| Original language | English |
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| Title of host publication | 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 609-612 |
| Number of pages | 4 |
| ISBN (Electronic) | 9786050114379 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 - Virtual, Bursa, Turkey Duration: 25 Nov 2021 → 27 Nov 2021 |
Publication series
| Name | 2021 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
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Conference
| Conference | 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 |
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| Country/Territory | Turkey |
| City | Virtual, Bursa |
| Period | 25/11/21 → 27/11/21 |
Bibliographical note
Publisher Copyright:© 2021 Chamber of Turkish Electrical Engineers.
