Canopy analysis and thermographic abnormalities determination possibilities of olive trees by using data mining algorithms


  • Abdullah BEYAZ Ankara University, Faculty of Agriculture, Department of Agricultural Machinery and Technologies Engineering, 06130, Aydınlıkevler, Ankara (TR)
  • Mücahit Taha ÖZKAYA Ankara University, Faculty of Agriculture, Department of Horticulture, 06130, Aydınlıkevler, Ankara (TR)



abnormality; canopy volume; data mining; image analysis; olive tree; thermography


In order to take the appropriate tree protection measures, it is crucial to determine and track abnormalities that may occur in olive trees in time to time for many reasons. Abnormalities start in different sections of the trees, depending on the environmental effects of the olive tree, with a specific impact like fungal diseases, drought, etc. after a certain age especially in non-resistant species. Protection steps may be taken when abnormalities are apparent or predictable in certain olive trees, using some external indicators. However, when abnormalities formed within trees cannot be identified externally, there is a sudden breakdown and overthrow of valuable properties, such as monument trees. In the literature, various devices and methods are explained to classify these defects in different trees. By the way, in this research, a non-destructive inspection method (thermography) was clarified and used to assess anomalies in old olive trees without damage in the interior. According to the results of average thermal data, 60, 400, 600 year-old olive trees, 60-40, 70-30 and 80-20 learning-prediction data rates decision tree and random forest results according to normal and abnormal thermal difference, the thermal range was found as 35.95 ℃ at 60 year-old tree, also it was found as 36.25 ℃ at 400 year-old tree and it was found as 38.25 ℃ at 600 year-old tree.


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Albrigo LG, Anderson CA, Edwards GJ (1975). Yield estimation of ‘Valencia’ orange research plots and groves. In: Proceedings Florida State Horticulture Society 88:44-49.

Bethge K, Mattheck C, Hunger E (1996). Equipment for detection and evaluation of incipient decay in trees. Arboricultural Journal 20:13-37. DOI:

Catena A (2003). Thermography reveals hidden tree decay. Arboricultural Journal 27:27-42. DOI:

Catena A, Catena G (2008). Overview of thermal imaging for tree assessment. Arboricultural Journal 30:259- 270. DOI:

Catena G, Catalano M, Palla L (1990). Thermal infrared detection of cavities in trees. European Journal of Forest Pathology 20:201-210. DOI:

Deflorio G, Siegfried F, Schwarze FWMR (2008). Detection of incipient decay in tree stems with sonic tomography after wounding and fungal inoculation. Wood Science and Technology 42:117-132. DOI:

Dolwin J (1996). Evaluation of internal defects in trees and their legal implications. Arboricultural Journal 20:173-178. DOI:

Habermehl A, Ridder HW (1995). Computerised tomographic investigations of street and park trees. Arboricultural Journal 19:419-437. DOI:

Kubus M (2009). The evaluation of using resistograph when specifying the health condition of a monumental tree. Notulae Botanicae Horti Agrobotanici Cluj-Napoca 37(1):157-164.

Küçükönder H, Vursavuş KK, Üçkardeş F (2015). Determining the effect of some mechanical properties on color maturity of tomato with k-star, random forest and decision tree (C4. 5) classification algorithms. Turkish Journal of Agriculture-Food Science and Technology 3(5):300-306. DOI:

Mattheck C, Breloer H (1994). Field guide for visual tree assessment (vta). Arboricultural Journal 18:1-23. DOI:

Roth DJ, Bodis JR, Bishop C (1997). Thermographic imaging for high-temperature composite materials- a defect detection study. Research in Nondestructive Evaluation 9:147-169. DOI:

Sandoz JL (1999). Standing tree quality assessments using ultrasound. Acta Horticulturae 496:269-278. DOI:




How to Cite

BEYAZ, A., & ÖZKAYA, M. T. (2021). Canopy analysis and thermographic abnormalities determination possibilities of olive trees by using data mining algorithms. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 49(1), 12139.



Research Articles
DOI: 10.15835/nbha49112139