At Rootfacts, we create software for predicting yields in Drogheda using a strong mix of advanced technologies aimed at enhancing precision, productivity, and decision-making in sectors including agriculture, manufacturing, and food processing.

Our software is mainly driven by Artificial Intelligence (AI) and Machine Learning (ML), allowing the system to evaluate past data and current inputs to predict future yield results. These models become increasingly accurate as they learn from trends and irregularities in the data.

We also incorporate Internet of Things (IoT) technologies, such as sensors and smart devices, that gather real-time data related to the environment, machinery, and processes. This live data is fed into cloud-based analytics engines, facilitating real-time and highly accurate forecasts.

Cloud computing platforms like AWS and Azure offer scalable infrastructure for storing large amounts of data and executing complex calculations without delays. Moreover, Geographic Information Systems (GIS) and satellite imagery are commonly utilized in agricultural settings to assess soil condition, crop development, and weather patterns.

At Rootfacts, we merge these technologies with customized dashboards, providing Drogheda businesses with actionable insights into production patterns, yield predictions, and loss reduction. This integrated method ensures better planning, reduced waste, and optimized operations across various industries.