DESIGNING A CLOUD-BASED AUTONOMIC SYSTEM FOR DELIVERING COMPREHENSIVE AGRICULTURE AS A SERVICE SOLUTIONS

Abstract

This article outlines the development and execution of a cloud-based autonomous system that provides full Agriculture as a Service (AaaS) solutions. The system intends to optimize farm management by using Internet of Things (IoT), cloud computing, and artificial intelligence (AI) technologies, with the goal of improving efficiency, effectiveness, and sustainability. The study approach comprises the following phases: startup and setup, data collecting, data transmission, data storage and management, data processing and analysis, autonomic management, service delivery, user engagement, and continual monitoring and maintenance. The autonomic features of the system, including self-configuration, self-healing, self-optimization, and self-protection, greatly minimize the need for human intervention and improve operational resilience. The findings illustrate the practicability and efficiency of the suggested system, showcasing the successful implementation of IoT devices, resilient cloud infrastructure, secure data administration, and valuable insights derived from sophisticated data processing methods. User-friendly apps and real-time decision assistance were used to provide comprehensive AaaS solutions. This study emphasizes the potential of cloud-based autonomic systems to transform agriculture by enhancing productivity, sustainability, and resilience. Subsequent investigations might delve into additional enhancements and extensions of the system to accommodate bigger and more varied agricultural enterprises.