A New Optimization of Agricultural Greenhouse’s PAYLOAD Applying Light Weighted, Green Intelligent, and Secured Solutions Based on Visual Watermarking of Objective and Subjective Plant’s PAYLOAD

Sustainable agriculture practices have become increasingly important with the escalating environmental problems that the world is facing. One potential solution is agricultural growth in greenhouses, which provide controlled settings for improving plant productivity with the help of technology. Integrating the Internet of Things (IoT) into smart greenhouses is emerging as a key tool for optimizing agricultural production, improving the nutritional quality of crops, ensuring food security, promoting environmental sustainability, and overcoming these challenges. In addition, data display and connection of agricultural IoT devices play a key role by using wired and Wi-Fi synchronized communication. However, data security remains a significant challenge. Therefore, it is essential to optimize the PAYLOAD charge and use current technologies such as real-time data synchronization and visual-based watermarking. Data analysis tools are particularly important, and with the help of computational intelligence, we can approximate lost and faulty sensor values and make necessary predictions to ensure that farmers make useful decisions and achieve better performance. The following article outlines the different approaches that can help optimize PAYLOAD, which affects energy efficiency, data prediction, and system performance.