| Yazarlar (2) |
Al-Husseini Hassan Hawas Hameedi
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Sepet Hakan
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| Özet |
| Many different goals can be served by processing digital photos, which is why there is such diversity in the subject of image processing. One of the foundations and essential tenets of computer vision is the image processing subfield, where basic operations like enhancing, cropping, and deleting unique characteristics are performed. You can use this method to determine the relative sizes of areas or objects in an image. We describe a study that makes use of cutting-edge computer vision techniques to investigate and assess palm tree plantations. Saladin, Iraqi date palm farms provide the data for this study. Trees are being mapped, analyzed, and categorized as well as cultivated and uncultivated land is being mapped. In the event of irrigation or tree-related calamities, the analysis can be used to exert control over these zones. According to the findings, our proposed method for identifying, analyzing, and classifying trees based on their crowns is superior. |
| Anahtar Kelimeler |
| Makale Türü | Özgün Makale |
| Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
| Dergi Adı | Humanitarian and Natural Sciences Journal |
| Dergi ISSN | 2709-0833 |
| Dergi Tarandığı Indeksler | ısı |
| Makale Dili | Türkçe |
| Basım Tarihi | 06-2023 |
| Cilt No | 4 |
| Sayı | 6 |
| Sayfalar | 82 / 94 |
| Doi Numarası | 10.53796/hnsj469 |
| Makale Linki | http://dx.doi.org/10.53796/hnsj469 |
| Atıf Sayıları |
