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 based on the application domain and the architectural design to better detect IoT security problems. In this research, IoT development boards and sensors, as well as cloud subscriptions, are utilized to construct an experimental setup. Using network host scanning and vulnerability scanning technologies, raw data on IoT apps and devices is obtained. Additionally, the Shodan scanning tool is used to successfully uncover vulnerabilities in IoT devices as well as to do penetration testing on such devices. This article provides an in‐depth study of attacks and vulnerabilities to Internet of Things related to agriculture fields.


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    Title :

    Evaluation of Vulnerabilities in IoT‐Based Intelligent Agriculture Systems



    Published in:

    Publication date :

    2022-12-19


    Size :

    22 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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