The Internet of Things (IoT) and Blockchain has rapidly progressed in recent years and significantly influenced various industries, transforming their operational methods. One notable area benefiting from IoT advancements is smart farming, which leverages this technology to enable precision agriculture, achieve high crop yields, and ensure efficient utilization of natural resources for long-term sustainability. Smart farming integrates sensing capabilities, communication technologies for data transmission, and data analytics to extract meaningful insights, enabling farmers to make intelligent decisions and increase profitability. However, the incorporation of new technologies in smart farming also brings security and privacy challenges. Without proper implementation, these technologies can inherit vulnerabilities that may compromise the system's integrity. Consequently, security monitoring becomes a crucial component of smart farming. Additionally, the framework includes a Blockchain-based smart-contract application to securely store information about security anomalies and proactively mitigate similar attacks targeting other farms in the community. The evaluation results demonstrated that the proposed framework could detect security anomalies within a real-time processing window and promptly update other farm nodes about the situation. This proactive approach helps enhance the overall security and resilience of smart farming operations. In summary, the proposed cloud-enabled smart-farm security monitoring framework integrates IoT, cloud computing, and Blockchain technologies to provide a comprehensive solution for monitoring and securing smart farming environments. This approach ensures the effective detection and mitigation of security threats, thereby supporting the sustainable and profitable operation of smart farms. The prototype was developed using an Arduino Sensor Kit and ESP32 for sensor data collection and communication. AWS Cloud was used for data processing and storage. A smart contract was implemented on the Ethereum Rinkeby Test Network to manage and store security-anomaly information securely. The performance evaluation focused on network latency to ensure that the system could monitor and respond to security events in real-time. The proposed framework for the system supported to the Monitoring Device Status, Detect Sensor Anomalies, and Mitigate Security Attacks.

IoT, Blockchain, Ethereum, Smartfarm.