Phenology monitoring of agricultural plants using texture analysis

Hulya Yalcin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Citations (Scopus)

Abstract

Power of computing technology to improve the efficiency in agricultural fields is becoming increasingly more important with the current projections of expected world population growth and decrease in available land and natural resources. One of the critical improvements can be achieved by monitoring phenology of agricultural plants which would henceforth improve the timing for the harvest, pest control, yield prediction, farm monitoring, disaster warning etc. Inferring the phenological information contributes to a better understanding of relationships between productivity, vegetation health and environmental conditions. As part of a government supported project, a terrestrial observation network is built throughout Turkey. The network includes over twelve hundred agro-stations that are placed on many agricultural fields. The stations are equipped with many sensors including cameras that acquire image sequences of the farm fields in a periodic manner. In this study, we use textural analysis combined with machine learning techniques to develop measures in order to recognize and classify phenological stages of several types of plants purely based on the visual data captured every half an hour by cameras mounted on the ground agro-stations. Experimental results suggest that Histogram of Oriented Gradients (HOG) features outperform Gray Level Co-occurrence Matrix (GLCM) features for the discrimination of phenological stages.

Original languageEnglish
Title of host publication2015 4th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages338-342
Number of pages5
ISBN (Electronic)9781467380874
DOIs
Publication statusPublished - 9 Sept 2015
Event4th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2015 - Istanbul, Turkey
Duration: 20 Jul 201524 Jul 2015

Publication series

Name2015 4th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2015

Conference

Conference4th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2015
Country/TerritoryTurkey
CityIstanbul
Period20/07/1524/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • agriculture
  • glcm features
  • HOG features
  • image processing
  • plant phenology
  • textural analysis

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