Stories that shape the future of agriculture

PROJECT DESCRIPTION:

At NAX AGTECH, we have identified a key need in the agro-industrial sector: to have an automated, scalable, and reliable system that allows for continuous high-resolution monitoring of crops, even in environments with low connectivity and adverse climatic conditions.

The NAX Drone project focuses on developing a plug & play system for automatic crop monitoring that integrates autonomous flying drones, Starlink satellite connectivity, and the intelligent NAX platform. This technological combination will allow for the automation of the entire workflow, from flight planning and drone image capture to data processing using artificial intelligence models and the visualization of actionable results for making agronomic decisions.

Thanks to this innovative approach, farmers and agro-industrial companies will be able to detect critical problems in their crops early—such as weeds, depopulation, or flooding—optimize the use of inputs, and reduce operating costs, contributing to a more efficient, sustainable, and resilient agriculture in the face of climate change effects.

OBJECTIVES AND RESULTS:

To address these challenges, the project is structured around a series of specific objectives that ensure solid technological development and

alignment with the real needs of the sector:

OE1: Design a modular architecture within the NAX platform that allows for the management of drone flights, the uploading and visualization of orthomosaics, and the automated analysis of RGB images.

OE2: Develop and train artificial intelligence models for the automatic detection of agronomic anomalies, such as weeds, depopulation, and flooding, based on images captured by drones.

OE3: Design optimization algorithms that integrate satellite data, historical crop data, and weather conditions to automatically recommend the optimal areas and times for flying.

OE4: Validate the operation of autonomous drones using drone-in-a-box stations connected via Starlink, demonstrating the feasibility of autonomous missions in areas without terrestrial connectivity.

OE5: Automate the entire workflow, from image capture to the generation of analytical reports, significantly reducing manual intervention and analysis times.

Together, these objectives will allow users to have precise, georeferenced information and in almost real-time to improve the management of their agricultural operations.

RESULTS 2025

During the initial phase of the project, exhaustive functional and technical design work of the NAX Drone system has been carried out, establishing the necessary foundations for its subsequent development and implementation. User flows of the application, the user experience, and the interaction logic with the results generated from drone images have been defined. Additionally, the reference technological architecture has been designed, including the service structure, the data model, and the orchestration mechanisms necessary to efficiently manage large volumes of geospatial data and intensive analysis processes. This design ensures the scalability of the system and its capacity for future evolution.

As a result of this work, the project has a solid foundation that reduces technical risks, ensures coherence between functional design and

technological architecture, and prepares the ground for the next phases of development, integration, and validation in real agricultural operation environments.