Çağdaş Civelek profile image
Çağdaş Civelek Assoc. Prof. Dr. ÇUKUROVA ÜNİVERSİTESİ, ZİRAAT FAKÜLTESİ, TARIM MAKİNELERİ VE TEKNOLOJİLERİ MÜHENDİSLİĞİ BÖLÜMÜ
Publication 3 Review 5 CrossRef Cited 4 TR Dizin Cited 2
3 Publication
5 Review
4 CrossRef Cited
2 TR Dizin Cited
0000-0002-3669-488X

Research Fields

Irrigation Systems Agricultural Machine Systems Agricultural Machines Agricultural Energy Systems Agricultural Automatization

Institution

ÇUKUROVA ÜNİVERSİTESİ, ZİRAAT FAKÜLTESİ, TARIM MAKİNELERİ VE TEKNOLOJİLERİ MÜHENDİSLİĞİ BÖLÜMÜ

Publications

Development of an IoT-Based (LoRaWAN) Tractor Tracking System
Authors: Çağdaş Civelek
Published: 2022 , Journal of Agricultural Sciences
DOI: 10.15832/ankutbd.769200
FAVORITE 0 TOTAL DOWNLOAD COUNT 1594

0

1594

Tractor Sales Forcasting for Turkey Using Artificial Neural Network
Authors: Çağdaş Civelek
Published: 2021 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.1000964
FAVORITE 0 TOTAL DOWNLOAD COUNT 665

0

665

Comparison of Technical Specifications and Performances of Wind Machines
Authors: Çağdaş Civelek , Ali Bayat , Mustafa Şehri
Published: 2017 , Journal of Agricultural Machinery Science
DOI: -
FAVORITE 0 TOTAL DOWNLOAD COUNT 249

0

249

Articles published in
Avrupa Bilim ve Teknoloji Dergisi
Avrupa Bilim ve Teknoloji Dergisi
Journal of Agricultural Machinery Science
Journal of Agricultural Machinery Science
Journal of Agricultural Sciences
Journal of Agricultural Sciences

Reviews

Journal of Agricultural Machinery Science
Journal of Agricultural Machinery Science
Journal of Agricultural Sciences
Journal of Agricultural Sciences
Journal of Agriculture Faculty of Ege University
Journal of Agriculture Faculty of Ege University
Middle East Journal of Science
Middle East Journal of Science

Publications

Development of an IoT-Based (LoRaWAN) Tractor Tracking System
Authors: Çağdaş Civelek
Published: 2022 , Journal of Agricultural Sciences
DOI: 10.15832/ankutbd.769200
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 1594

2

0

1594

Tractor Sales Forcasting for Turkey Using Artificial Neural Network
Authors: Çağdaş Civelek
Published: 2021 , Avrupa Bilim ve Teknoloji Dergisi
DOI: 10.31590/ejosat.1000964
CITED 2 FAVORITE 0 TOTAL DOWNLOAD COUNT 665

2

0

665

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods.
Interactive Guide Tool
If you want to see the panel introduction, you can click Start Tour.