Applying Computational Intelligence, Visual Optimization Tools, and Synchronized PAYLOAD’s Handshaking to Enhance Greenhouses ECC Cyber Security-based Agriculture IoT’s Properties

Abstract

One of the necessities of life is Food and its global availability has made agriculture a vital sector in recent years. With the development of technology, maintaining a good greenhouse climate has become a necessity to make plants more productive. The introduction of IoT technology solves many problems and offers new opportunities for improving efficiency and sustainability. Communication protocols such as MQTT and I2C play an essential role in data collection and exchange between agricultural IoT devices. However, data security remains a major challenge to ensure the confidentiality and integrity of transmitted information. Furthermore, payload optimization and the application of advanced techniques such as real-time data synchronization, psychovisual coding, and data computational intelligence are essential in increasing IoT Greenhouse’s performance. Data analysis tools are critical in approximating missing or erroneous sensor values, allowing farmers to make informed decisions. The combination of all these factors provides new solutions for achieving sustainable, energy-efficient agricultural practices. This article focuses on Psychovisual Optimization tools, ECC for PAYLOAD’s security and data analytics for prediction, discuss the choice of fixed and mobile nodes, and explore at how different approaches influence energy efficiency, environmental preservation, and overall performance’s system.