Hybrid Authentication Scheme Based on Cyber Physical System Use in Agriculture

Abstract

Recently, the agriculture industry has seen the application of artificial intelligence (AI). To maximize yield, the industry must overcome a number of obstacles, including poor soil management, infection by pests and pathogens, the need for huge information, low output, and a technological lack of clarity among farm owners. The core principles of intelligence in farmland are expense, precision, good speed, and scalability. This study reviews the various applications of artificial intelligence for the management of weeds, disease, crop production, and land. Application's advantages and disadvantages are highlighted, as well as how to use expert systems to increase productivity using hybrid authentication as a substitute for traditional authentication. Combining text and pictures, it was discovered that there was increased security at efficiency of an authentication system over time. A follow-up study with bigger sample sizes might be interesting, which pointed out that limited sample sizes have been employed in graphic password studies in the past (2005).