Zeytin Ağaçlarının Otomatik Tespiti, Dijital Kimliklendirilmesi ve Akıllı Takibi

Öz

Zeytin ağaçlarının dron ve uydulardan otomatik tespiti, her ağacın dijital kimliklendirilmesi ve ürün takibinin kolaylaştırılması çalışması İzmir ili, Belevi ilçesindeki iki zeytin arazisinde pilot uygulama ile hayata geçirilmiştir. Arazilerde, dron ile video ve fotoğraf çekimleri yapılmış; termal–optik görüntüler ve mobil cihazlardan GPS kayıtları alınmıştır. Bu verilerle YOLOv8 tabanlı bir zeytin ağacı tespit modeli eğitilmiş, drondan elde edilen görüntülere uygulanmıştır. Dron görsellerinden her bir ağacın konumunun tespiti için geometrik yöntem geliştirilmiş, elde edilen konum kestirimleriyle uydu verileri karşılaştırılmıştır. Binden fazla zeytin ağacı için QR kodlar hazırlanmış, her bir ağaca çakılmış, CBS ve web arayüzüyle ilişkilendirilmiştir. Bu pilot çalışmanın genişletilmesiyle ülke bazında tüm meyve ağaçlarına dijital kimlik kazandırabilecek bir ağın oluşturulması, böylelikle üretimden tüketime gürbüz takip zincirinin kurulması mümkün kılınabilecektir.

Anahtar Kelimeler

• Ağaç Tespiti
• Akıllı Tarım
• Coğrafi Konum Belirleme
• Dron
• Erken Tespit
• Uydu
• YOLO
• Zeytin Ağacı

Automatic Detection, Digital Identification, and Intelligent Monitoring of Olive Trees

Öz

This study presents the automated detection of olive trees from drone and satellite images, the estimation of their true locations, and the digital identification of individual trees using QR codes. The pilot implementation was carried out in two olive fields with more than one thousand trees in the Belevi district of İzmir. Drone-based video and photo recordings were collected in these fields, along with thermal–optical images and GPS data from mobile devices. Using collected dataset, a YOLOv8-based olive tree detection model was trained and applied to the drone images. A geometric method was developed to determine the position of each tree from both drone and satellite images. QR codes which were generated and attached to each olive tree, were linked to a GIS and a web interface. This pilot study may enable to create: i-) a nationwide network capable of assigning digital identities to all fruit trees, ii-) a robust traceability chain from production to consumption.

Anahtar Kelimeler

• Tree Detection
• Smart Agriculture
• Geolocation
• Drone
• Early Detection
• Satellite
• YOLO
• Olive Tree

Kaynakça

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