A group of researchers from Science and Technology Faculty, Koimbra University (Fctuc) is developing a System based on Artificial Intelligence (AI) and Machine Learning (ML) designed to monitor environmental footprints in agriculture.
Project “4.0 Footprint” focuses on five important indicators: carbon dioxide, water resources, extended pollution, landscape and biodiversity. The goal Measure and reduce the environmental effect of farming practicesEncouraging a A more stable product.
Be in the manner used Collecting multimodal data, temperature and humidity measurements, insects and plant images, bird sound recordsAmong others. The goal Integrate and analyze this information, allows species to identify automatic detection and new ones over timeThrough dynamic AI models, describes in a statement.
A. An application developed on this project is SmartG. This app is used to record species testimony, which represents any species, coordinations and registration time.
These are Images are automatically classified by smart models. In the early stage, Farmers must verify if the AI classification is correctHelps constantly improve patterns.
This project wants to suggest significant progress in accuracy agriculture, betting on dynamic AI and machine learning designs for greater efficiency. “We hope to implement these models in a low -cost hardware, making this process more effective, from conception to earthly”, Indicates in a statement.
It has a share 20 farmers and various Soonship PartnersIt is actively contributing to environmental monitoring, including the Agroinsider Company, is connected to the University of Evora.
“With this innovative approach, Portuguese agriculture will become more efficient and environmentally favorable, establishing a new standard for sustainable agricultural management“The team ended.
