Performing similarity analysis on organic farming crop data of Turkish Cities

Organic crop production is an important technique which can help increase the quality and throughput of food production. In this study, similarity analysis of organic farming crop data of Turkish cities has been performed. The dataset has been collected from the web site of Turkish Ministry of Agric...

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Bibliographic Details
Published in2020 Innovations in Intelligent Systems and Applications Conference (ASYU) pp. 1 - 4
Main Authors KASIF, Ahmet, Ortac, Gizem, IBIS, Esma, BILGIN, Turgay Tugay
Format Conference Proceeding
LanguageEnglish
Published IEEE 15.10.2020
Subjects
Agriculture
Chemicals
dynamic time warping
Heuristic algorithms
organic food production
Production
similarity
Time measurement
time series
Time series analysis
Urban areas
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Summary:Organic crop production is an important technique which can help increase the quality and throughput of food production. In this study, similarity analysis of organic farming crop data of Turkish cities has been performed. The dataset has been collected from the web site of Turkish Ministry of Agriculture and Forestry. Some pre-processing techniques have been applied. Dynamic Time Warping distance has been used as a similarity metric. Results show that Dynamic Time Warping similarity is suitable for similarity detection of organic crop production.
DOI:10.1109/ASYU50717.2020.9259831