Farmers Leverage IoT Technology to Manage Crops and Controls for Climate Challenges
Without granular data for predictive analytics, it is difficult to know how variable elements have impacted the physiology of the grape. The grape’s weaknesses cannot be compensated for—and strengths cannot be enhanced. Without agrotechnology such as Libelium, decisions are based on assumptions rather than data. Profits may not be maximized, and crops can be diminished or lost.
Integrating Libelium with RoboMQ’s Connect iPaaS enables custom workflow design for timely, data-driven decisions and predictive analytics. IoT sensors monitor growing conditions, detecting humidity, temperature and light. Sensors communicate with the Libelium application, and certain readings trigger events in other applications, such as Slack, PagerDuty, SMS, or actuators. This custom workflow allows for timely response and reaction, optimizing crop management.