Abstract
Atomization of agricultural tasks such as disease removal is increasingly growing in European countries and thus accurate techniques are significantly required for efficient use of chemicals e.g. pesticides. In the present study, a computer vision-based technique is proposed which can be used for site specific spread of anti-fungal chemicals on strawberry leaves which alleviates yield’s quality and quantity. The proposed technique mainly constitutes a band-pass filter for fungi-infection localization. The merit of this research work is taking into account human perception of fungi visual aspects to lower the computational load and ease the deploying technique on single chip processor for real-time application.
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Alshahadat, M., Bilgehan, B., Kavalcıoğlu, C. (2019). An Effective Fuzzy Controlled Filter for Feature Extraction Method. In: Aliev, R., Kacprzyk, J., Pedrycz, W., Jamshidi, M., Sadikoglu, F. (eds) 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. ICAFS 2018. Advances in Intelligent Systems and Computing, vol 896. Springer, Cham. https://doi.org/10.1007/978-3-030-04164-9_15
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DOI: https://doi.org/10.1007/978-3-030-04164-9_15
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