We provide a streamlined prototyping framework for the complex, unpredictable and not really measurable process in machine learning and data analytics MVP or prototyping projects.
The work is performed in a fixed timeline of 3-4 month and ends with an MVP or beta version. No more struggle with: blocking of internal resources, overdue deadlines, or that costs are going through the roof.
The main task is usually to compute the real capacity utilizations in a logistics network and to identify bottlenecks and tactical improvements potentials in the shipment scheduling and planning. We further help also in the strategic improvement of the general network design (hubs, milk runs, etc).
An essential part sensor and IoT analytics is the multi-dimensional modelling of the, usually physical, processes and the pattern recognition and identification. Usual use cases are the early identification of significant process changes for predictive maintenance and quality control.
Precision farming offers many possibilities, but without smart data analysis the overall impacts and performances of processes, treatments, etc. stay unknown. Smart farmers need to move from guessing to knowing.
The information flow between application and machines is extremely important. Here we support farmers to collect and store their data. We further support the enrichment of the data with weather information and to perform data analysis tasks to increase overall performance and yields.
With our smart farming App Farming Fox, farmers can store all Agrirouter data in one central place and evaluate it in the future with intelligent algorithms.
As your Agrirouter archive, Farming Fox collects and stores all files and messages within the Agrirouter network, such as task data files, machine logs, etc. This data collection is the essential basis for any future performance analysis.