Artificial Intelligence (AI)

In short

At NEUROPUBLIC, we leverage AI techniques to develop the company’s services, primarily in the agri-food sector through smart farming systems, as well as in other areas. The power of this technology lies in its very data: the more we use Artificial Intelligence (AI), the more we feed its models with data, improve them and achieve the results we need, continuously enhancing the services we offer to our customers with highly accurate outcomes.

NEUROPUBLIC’s key advantage in this emerging sector is that the platforms it provides to its customers are powered by diverse data sources. These sources help the algorithm run even faster, significantly reducing the likelihood of errors.

Highlights

gaiaTRAP: Olive Fruit Fly Smart Trap

NEUROPUBLIC uses artificial intelligence techniques to develop the electronic olive fruit fly trap, an innovative olive fruit fly monitoring system. This innovative monitoring system for the olive fruit fly automatically captures images of the insects and uses computer vision models and neural networks to identify and count them.

These techniques allow for a more accurate estimation of the olive fly population, supporting targeted decision-making for grove protection and reducing environmental impact from unnecessary pesticide use.

Fraud Detection System for OPEKEPE

As part of the new information system being developed for OPEKEPE (the Greek Payment Authority of Common Agricultural Policy Aid Schemes), NEUROPUBLIC leverages artificial intelligence techniques to detect fraud cases in producer declarations. The system employs data analysis methods and embeddings to compare applications and identify potential inconsistencies or patterns linked to fraudulent activity.

This ensures the reliability of the payment system and safeguards resources allocated to legitimate beneficiaries.

Machine Learning Models for Plant Diseases (gaiasense)

NEUROPUBLIC develops machine learning models to monitor and predict plant diseases. These models analyze data from agrometeorological stations—such as climatic conditions and other parameters—to calculate risk indicators for specific diseases. With these forecasts, farmers receive timely alerts and can take the necessary protective measures, safeguarding both the quality and quantity of their crops.

Currently under development is the Voice AI feature in gaiasense, which will enable user interaction with the system via voice commands. This innovation means that producers will no longer need to manually input their daily activities per field; instead, tasks will be voice-recorded, saving valuable time and creating a much more user-friendly experience.

AI as an Internal Productivity Tool

NEUROPUBLIC has also installed the DeepSeek V3 LLM (Large Language Model) on the company’s local servers, enhancing our ability to process and analyze large datasets with greater speed and accuracy. As a result, our teams have more time to develop new strategies and become even more creative.

The power of AI enables us to deliver high-quality, precision services to our clients, boosting our competitiveness in the market and ensuring customer satisfaction.