The future of farming includes precision agriculture, satellite farming, and site-specific crop management (SSCM), which are based on observing, measuring and responding to inter and intra-field variability in crops. This use case integrates Cloud-Edge processing with agricultural machinery and vehicles, aiming to optimize costs, and enhance time and task efficiency.
Methodology
Efficient data management
NebulOuS implements sensor-based alert generation and ensures efficient task scheduling, along with secure data transmission. The platform’s technology allocates data streams propagation and processing across diverse micro local clouds, private clouds, public clouds and edge resources, increasing the transfer of valuable data at the same cost. By doing this, it optimizes processing jobs that can be time-critical such as pattern recognition for spotting low vegetation areas that do not need any fertilizer or post-operational analysis applications like leaf pattern recognition for spotting certain diseases.
BENEFITS
Redefined precision agriculture
Cost reduction
Drastically reduce cloud-related costs with optimized task allocation and efficient data management.
Time optimization
Enhance task completion times by leveraging NebulOuS' efficient task scheduling capabilities.
Adaptive technology
Ensure secure data transmission and streamline data processing, adapting to network bandwidth and connection stability.