A team of investigators from College of Science and Technology, University of Keimbra (FCTUC) develops a AI and automatic learning system (ML) designed to monitor the effects of environmental feet in agriculture.
Project “4.0 fingerprints” focuses on five basic indicators: carbon dioxide, water resources, widespread pollution, landscapes and biological diversity. The goal is Measuring and reducing the environmental impact of agricultural practicesEnhancing a More sustainable production.
It includes the methodology used Collect multimedia data, temperature and humidity coverage, insects and plants, and bird sound recordsAnd among others. The goal is Merging and analyzing this information, allowing automatic species and discovering new data over timeThrough dynamic artificial intelligence models, he explains in a statement.
A Smartag, an application developed in this project, allows farmers to subjugate images and sounds in the actual time of scientific analysis. The application is used to record evidence on species, which indicates species, coordinates and registration time.
these The photos will be classified automatically by smart models. In the early stage, Farmers must verify whether the artificial intelligence classification is correctHelp in improving models constantly.
The project wants to represent great progress in microorganism, and betting on automated learning models and dynamic machine for more efficiency. “We intend to implement these models in low -cost devices, which makes the process more effective, from load to implementation on EarthHe indicates in a statement.
She has a post 20 different farmers and partnersWhich contributes actively to environmental monitoring, including Agroinsider, associated with the University of Evora.
“With this innovative approach, Portuguese agriculture is expected to become more efficient and environmentally friendly, which sets a new standard for sustainable agricultural management“The team concludes.
