Performing similarity analysis on organic farming crop data of Turkish Cities
Type de document
conferencePaper
Langue source
Anglais
Titre français
Titre anglais
Performing similarity analysis on organic farming crop data of Turkish Cities
Auteur(s)
- KAŞİF A.
- ORTAÇ G.
- İBİŞ E.
- BİLGİN T. T.
Editeur(s)
Autre(s)
Id
L6677ZF4
Version
2972
Date ajout
23 décembre 2020 11:47
Date modification
23 décembre 2020 11:47
Résumé anglais
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.
Note
None
CRAW tags
- AB - Spécifique
- GEO Turquie
- agriculture
- comparaison
- performance
WEB tags
- chemicals
- heuristic algorithms
- production
- time measurement
- time series analysis
- urban areas
- dynamic time warping
- organic food production
- similarity
- time series
Pages
1-4
Date caractères
October 2020
Date publication
24 octobre 2020
Doi
10.1109/ASYU50717.2020.9259831
Le DOI est une URL unique de référencement d'une publication.
Il est donc plus fiable et permanent qu'une URL classique