PROTOCOLS COMPARISON FOR REAL-TIME DATA STREAMING FROM IOT DEVICES TO A CLOUD-BASED SOLUTION
The proper detection and prevention of malfunctions are crucial in mitigating maintenance costs and equipment replacements for agricultural vehicles, ultimately reducing the expenses associated with crop cultivation. Predictive analytics for agriculture vehicles leverage machine learning and sensor data to anticipate equipment faults, optimize maintenance schedules, and enhance operational efficiency in the farming industry.