  The concept of traditional farming is changing rapidly with the introduction
of smart technologies like the Internet of Things (IoT). Under the concept of
smart agriculture, precision agriculture is gaining popularity to enable
Decision Support System (DSS)-based farming management that utilizes widespread
IoT sensors and wireless connectivity to enable automated detection and
optimization of resources. Undoubtedly the success of the system would be
impacted on crop productivity, where failure would impact severely. Like many
other cyber-physical systems, one of the growing challenges to avoid system
adversity is to ensure the system's security, privacy, and trust. But what are
the vulnerabilities, threats, and security issues we should consider while
deploying precision agriculture? This paper has conducted a holistic threat
modeling on component levels of precision agriculture's standard infrastructure
using popular threat intelligence tools STRIDE to identify common security
issues. Our modeling identifies a noticing of fifty-eight potential security
threats to consider. This presentation systematically presented them and
advised general mitigation suggestions to support cyber security in precision
agriculture.
