This study focuses on the recently emerged Internet of Vehicles (IoV) concept to provide an integrated agricultural vehicle/machinery tracking system through two leading low power wide area network (LPWAN) technologies, namely LoRa and NB-IoT. The main aim is to investigate the theoretical coverage limits by considering the urban, suburban, and rural environments. Two vehicle tracking units (VTUs) have been designed for LoRa and NB-IoT connectivity technologies that can be used as reference hardware in coverage analysis. On this basis, the closed-form explicit analytical expressions of the maximum transmission range have been derived using the Hata path loss model. Besides, the computer simulation results have been validated via the maps from XIRIO online radio planning tool. In light of the obtained findings, several evaluations have been made to enhance the LPWAN-based agricultural vehicle tracking feasibility in smart farms.

This study focuses on the recently emerged Internet of Vehicles (IoV) concept to provide an integrated agricultural vehicle/machinery tracking system through two leading low power wide area network (LPWAN) technologies, namely LoRa and NB-IoT. The main aim is to investigate the theoretical coverage limits by considering the urban, suburban, and rural environments. Two vehicle tracking units (VTUs) have been designed for LoRa and NB-IoT connectivity technologies that can be used as reference hardware in coverage analysis. On this basis, the closed-form explicit analytical expressions of the maximum transmission range have been derived using the Hata path loss model. Besides, the computer simulation results have been validated via the maps from XIRIO online radio planning tool. In light of the obtained findings, several evaluations have been made to enhance the LPWAN-based agricultural vehicle tracking feasibility in smart farms.

Successful digital transformation of businesses requires; organizational competency and some resources and conditions related to the ecosystem in which they are located. Therefore, the success of enterprises in realizing digital transformation is closely related to the existence of these requirements. The aim of this study is to determine the current situation of the manufacturing industries in Konya and Karaman provinces with regards to digital transformation, the difficulties they face in digital transformation process and their needs for an efficient and effective digital transformation. Primary data collected by using three different data collection tools; surveys, interviews and focus group meetings are used in the current situation and needs analysis studies. Collected data were evaluated using SPSS software. The findings and results are presented in the form of graphics and tables. By interpreting the results obtained; the significance of the study and the validity of the methodology used were evaluated. It is expected that the results obtained in this study will contribute to the planning and policy development activities on the digital transformation of manufacturing industries in Konya and Karaman provinces.