A new approach to monitor and assess the damage caused by two-spotted spider mite

Uygun T., Ozguven M. M., Yanar D.

EXPERIMENTAL AND APPLIED ACAROLOGY, cilt.82, sa.3, ss.335-346, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 82 Sayı: 3
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1007/s10493-020-00561-8
  • Dergi Adı: EXPERIMENTAL AND APPLIED ACAROLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Agricultural & Environmental Science Database, BIOSIS, CAB Abstracts, EMBASE, Environment Index, Geobase, MEDLINE, Veterinary Science Database
  • Sayfa Sayıları: ss.335-346
  • Anahtar Kelimeler: Agricultural robots, Agricultural platforms, Image processing, Two-spotted spider mite, Cucumber, TETRANYCHUS-URTICAE KOCH, ABSOLUTE ERROR MAE, HOST-PLANT, ACARI, LEAVES, PARAMETERS, PEPPER, INJURY, MODEL, RMSE
  • Ankara Üniversitesi Adresli: Hayır

Özet

This study uses an image-processing technique to determine the damage level caused by two-spotted spider mite (Tetranychus urticae Koch) to cucumber plants and changes in the number of mites in a greenhouse. Firstly, a new agricultural platform was developed to ensure camera stability for capturing quality images. The images of 50 leaves infested with T. urticae were captured weekly for 5 weeks with the platform, which resulted in 250 images. Fifty of these captured images were randomly selected and processed with an image-processing algorithm developed using an image processing toolbox module of MATLAB. The results obtained from the image processing algorithm were compared with expert observations. The image-processing method predicted the damage with 3.91 root mean squared error (RMSE). A highly significant positive relationship was found between image processing and expert observations. The results indicate that this new image-processing method may be successfully used in place of expert observation to determine T. urticae damage in greenhouses.