This project aims to integrate predictive models and incorporate artificial intelligence into precision agriculture. The RACEMUS.AI project is a collaborative effort between NIRIS s.r.l., the University of Trento, and the Fondazione Edmund Mach, with the goal of advancing the field of artificial intelligence and its applications in smart agriculture.
This project was funded through the support of Provincial Law No. 6 of December 13, 1999 of the Autonomous Province of Trento, which provides aids for promoting research and development.
This repository is released under the MIT License. You can find the full text of the MIT License in the LICENSE file included in this repository.
For more information about the RACEMUS.AI project, please visit our website at www.racemus.ai.
Open source software empowers individuals and organizations to collaborate, innovate, and create solutions that benefit society as a whole.
Feel free to use and contribute to this open source project, and help us make a positive impact in the world of smart agriculture!
The project is divided into four subdirectories:
- Peronospora: contains the predictive models for Plasmopara viticola.
- NHH: contains the predictive model for phenological phases.
- Drone: contains the project and configuration for the open-hardware drone "HERMES-00" by NIRIS and UNITN-DII. The specific license for this subdirectory can be found in the LICENSE file within the "Drone" directory.
- RacemusClassifier: includes the integration of the ResNet50 model, which is licensed under the Apache 2.0 License. The code developed specifically for the RacemusClassifier, excluding the ResNet50 model, is released under the MIT License. For more information about these licenses, please refer to the following links:
Please note that while the RacemusClassifier's custom code is licensed under MIT, the usage of ResNet50 model follows the terms and conditions of the Apache 2.0 License. Users of RacemusClassifier should comply with both licenses accordingly.