The agricultural sector is transforming from traditional, human labour-intensive work to data-oriented digital agriculture that has great potential for semi or fully autonomous operation. This digital transformation offers many advantages, but it also requires improved cyber-security and privacy data protection.
The current approaches aim to use more powerful machines in the field, make these machines semi or fully autonomous, and to plan precise fertilisation, irrigation, pest control and harvesting regimes based on detailed environmental data. These machines are supplied with numerous sensors that monitor the environment and are equipped with intelligent algorithms to perform their daily work, providing extensive operation status information, enabling a 24/7 availability. The agricultural system infrastructure, composed of numerous networked digital devices, is called Agriculture Internet of Things (AIoT). The colossal data gathering activities are very attractive for cyber-attacks, including theft, manipulation and misuse of data.