the electrical components enables us to analyze the mechanical stresses, which provides a better understanding about the PV system characteristics. One of the major challenges in getting real-time visual data from the solar farm is the difficulty in video data transmissions [2]. The video data transmissions have been largely driven by the internet, which involves uploading and downloading multimedia data by the latest 5G technology through various devices including mobile phone, laptops, computers etc. Normal and emergency videos have been shared through mobile vehicles, and new methods are needed to streamline the bulk of multimedia data transfer with fastest data rate and without or almost zero-time delay. The 5G is one of the biggest evolutions of the network and adapts to many changes in the network and minimizes losses. The multicast routing protocol reduces the power consumption, transmission overhead, and control overhead and increasing the throughput by sending multiple copies of messages to various nodes in the configured network. With the proposed 5G Multicast SDN network eminence, the solar energy intensity, wind speed, its direction and their variation over various parts of the country will be recorded and transferred as video packets to the centralized unit with the shortest delay, eliminating buffers and with the lowest error possible. The data collected at the centralized unit will help in arriving at decisions for monitoring the solar farms and detecting the faults. Smart and precision solar energy harvesting will facilitate renewable energy harvesters to be more informed and highly productive. A review article on the impact of 5G technology in smart farming, its opportunities and challenges, have been addressed by [PERSON] et al. [2] and the present research paper deals with renewable energy harvesting through a MSVPC model. [PERSON] [3] et al. have addressed integrating internet of things (IoT) with wind and ocean energy harvesters for developing smart cities. A new innovative and more precise technique in the harvesting of solar and wind power will be introduced through integrating all the solar and wind power stations through the advent of this 5G technology with a multicast SDN network. Thus, a new revolution in the field of renewable energy power generation will be led throughout the globe by the IoT-based cloud computing service in the 5G network which provides flexible and efficient solutions for smart power generation. When transferring such huge data over 5G network the key challenges are the transmission delay and packet errors which have been addressed in this research work. 5G is one of the biggest evolutions of the network and it is enhancing the performance of the current network system, and it adapts too many changes in the network and minimizes losses. The headers of multiple layers lead to uniform interactions among the devices. These include routing layers, addressing concepts, UDP layer, MAC layers etc. The function of these layers is to extract and transmit data transmissions in the network. The general packet radio service (GPRS) tunneling protocol is attached to it, which allows devices in the network to be moved to different locations within the network area. The enclosed protocol operates as a tunneling protocol to create a data transmission path for video in 5G infrastructure. Then, the data packets of the devices can be sent and received through H.265 which is attached to the application layer. Communications in the network transport layer are based on applications. Some devices may request some information from the main storage area of the server \(M_{SD}\). The data-oriented network architecture aims to find the shortest path for sending information to the server near that device. It also helps to manage disconnections in the network path and to handle multiple transmissions simultaneously. In the proposed model, when the network traffic load is high, the protocol has to share the dynamic emergency data in the quality service mode.