manufacturers aim to achieve fully autonomous systems. One of the steps toward fully autonomous operation is the development and assessment of remotely controlled tractors. This development increases the need for data and hence communication between machines [1]. One special case of increased automation, the principle of which was initially developed more than a century ago, is a master-slave tractor system in which the farmer controls one or several slave tractors from a master one [2]. The slave tractor can operate mainly independently, but the farmer takes control whenever needed. The first implementations were mechanical, but radio waves soon replaced them. Nowadays, the solutions, if applied, are fully digital. A remotely controlled tractor, regardless of whether it is controlled from the farm office or the cabin of another tractor, relies on reliable, high-quality communications and extended coverage of the network. Farms are usually located in rural and sparsely populated areas, where the data connection often limits or prevents farmers from utilizing solutions that demand high amounts of data [3]. Consequently, the main idea of the experiment reported here was to establish an ad hoc private network or a private network bubble to enable remote operations of a tractor performing a fertilization task in a field. Autonomous and remote-controlled tractors have gained high interest from researchers in increasing productivity [4; 5; 6; 7; 8]. Approaches such as cloud-based dynamics control have been studied to improve the maneuverability, mobility, and handling performance of unmanned ground vehicles [9]. The remote control study defined in this paper focuses on supporting commonly used systems in agriculture, such as ISO 11783 [10], commonly known as ISOBUS. ISOBUS is a widely used communication standard for providing an open, interconnected system for on-board electronics. It allows connections between tractors and implements without dependence on the brand. ISOBUS is based on SAE J1939 protocol [11], including controller area network (CAN), which enables electronic control units (ECUs) for communicating through CAN buses; thus, together, they can create a uniform system. Autonomous control algorithms have been studied for agricultural tractors using ISOBUS standard-based communication [12]. Our study aims to enable remote control of the tractor interconnecting the in-vehicle CAN of the tractor and the CAN bus of the remote control system. CAN traffic relaying over IP networks has been identified as a potential solution for monitoring and remote controlling vehicles [13; 14; 15; 16]. Cannelloni [17] is a software that allows controller area networks to be connected over a local area network but does not support secure data transmission over the internet or a mobile network. This paper describes the study of a solution based on Cannelloni, Socat [18], and secure shell (SSH) to securely transfer control messages over networks. We propose a solution that adapts to the limited resources in networks by enabling the transfer of only selected CAN frames. Emerging communication technologies--5G, sensor networks, satellite systems, and tactical networks as wireless backbones--provide new opportunities for SF [19; 20; 21]. 5G provides a reliable, low-latency, high-capacity channel for vehicle communications, control, and surveillance [22]. Wi-Fi, satellite, and long range wide area network (LoRaWAN)-based sensor networks support monitoring, surveillance, and situational awareness in the farm environment. As SF and autonomous tractor scenarios involve external stakeholders and connectivity with different sensors and assets, cybersecurity is an essential requirement [23; 24]. Cybersecurity architecture can build on wireless security [25], application layer security solutions for SF [26], the internet of things (IoT) [27], and vehicles [28].