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Canopy Analysis of Olive Trees and Data Mining Algorithms for Thermographic Anomalies

In order to take appropriate tree protection measures, it is of great importance to detect and monitor the abnormalities that may occur in olive trees from time to time due to many reasons. Depending on the environmental effects of the olive tree, after a certain age, abnormalities start to occur in different parts of the trees due to certain effects such as fungal diseases, drought, etc., especially in non-resistant species.

Doç. Dr. Mücahit Taha Özkaya
Zeytin Akademi

Depending on the environmental influences of the olive tree, after a certain age abnormalities start to appear in different parts of the trees with certain influences such as fungal diseases, drought, etc., especially in non-resistant species. When abnormalities are evident or predictable in some olive trees, conservation steps can be taken using some external indicators. However, when abnormalities occurring inside the trees cannot be detected externally, valuable assets such as monumental trees may suddenly deteriorate and fall. The literature describes various devices and methods to classify these defects in different trees. Meanwhile, in this research, a non-destructive testing method (thermography) was clarified and used to assess abnormalities in old olive trees without damage to the interior. According to the average thermal data results for 60, 400, 600-year-old olive trees, 60-40, 70-30 and 80-20 learning-estimation data ratios, decision tree and random forest results based on normal and abnormal thermal difference, the thermal range was found to be 35.95 ?C in 60-year-old tree, 36.25 ?C in 400-year-old tree and 38.25 ?C in 600-year-old tree.


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