Autonomous Vehicles, Volume 2

12Evaluation of Vulnerabilities in IoT-Based Intelligent Agriculture Systems

Khongdet Phasinam* and Thanwamas Kassanuk

Faculty of Food and Agricultural Technology, Pibulsongkram Rajabhat University, Phitsanulok, Thailand

Abstract

Humans can’t survive without agriculture. Farming supplies a significant section of the world’s population with their primary source of income. Additionally, it offers several employment possibilities for the local population. Low yields are a common side effect of ancient agricultural methods, which are still widely used by many farmers. The long-term prosperity of the economy depends on the long-term growth of agriculture and allied businesses. Key issues in agricultural production include crop selection, support systems, and decision-making. Temperature, soil fertility, water volume, water quality, seasons, crop prices, and other environmental factors affect agricultural predictions. With the rapid development of agricultural automation tools and apps, it’s now easier than ever to get the information you need. Most Internet of Things (IoT) applications and devices are also known to be vulnerable to various types of attacks because of their inherent insecurities.

Aside from their impact on the device’s availability, various threats have differing implications on its security or quality. There is a stumbling block in enterprises determining what risks they face with their information assets and how to handle them. This article establishes a taxonomy ...