This systematic review paper investigates a potential security concern in cloud operating systems in this study. The cloud computing operating system is an efficient and cost-effective solution for providing IT services to both individual users and enterprises. It offers scalability and reliability, ensuring that resources can be easily adjusted to meet changing demands. Additionally, it is a cost-efficient option, making it accessible to a wide range of users. Nevertheless, the outsourcing of crucial services to a third-party cloud provider introduces an additional element of risk. The challenges of data security and privacy, data and service availability, and compliance verification are exacerbated as a consequence with regulatory mandates. The problems with security that come with cloud computing have already been covered in this article. These problems were identified as the most significant ones in this category of systems and the most significant obstacles that can be found in the literature on cloud computing operating systems and their environments. In addition, researchers advised that a way be proposed that would enable users to pick certain security levels before making the decision to utilise cloud-based services. This is something that all users should be aware of before making their decision. Additionally, future researchers will be able to gain something from the methodical investigation that is suggested in this study.
Keywords: Cloud Operating Systems, Security Challenges, Security Issues, SPI Model, Standardization

Owing to the advent of Wireless Sensor Networks (WSN) in the agricultural sector, a new method to plant cultivation has become available. The same is true, especially in confined settings like greenhouses. Plants and vegetables produced in greenhouses benefit from the protection of their surroundings. However, various environmental conditions need to be checked and controlled, in order to make this happen. There are several smart applications that have automated the control, and maintenance of greenhouses in various aspects, using different trending technological concepts. The agricultural field lacks smart greenhouses that support advanced automated irrigation systems. Hence, the use of Internet of Things (IoT) based WSNs in the greenhouses to bridge the aforementioned gap is focused on through this research. This research covers the background analysis regarding greenhouses, the IoT-based wireless technology utilized for sensor connection, actuators with the methodology used to pick the period or speed at which data is sent, and finally a justification of used wireless network technologies. For effective WSN integration and management in greenhouses, the study also examines a number of alternative prediction models and decision-supporting approaches.
Keywords:Smart Greenhouse, Wireless Sensor Networks, Internet of Things, Artificial Intelligence, ESP32