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5th Edition Windpower Data and Digital Innovation Forum

by reperibilita@netseven.it | Sep 26, 2023

The Windpower Data and Digital Innovation Forum unites leaders and experts to exchange insights on Digital Innovation, Big Data, and AI. It offers a unique platform for innovation discussions, covering recent trends, challenges, and solutions in Big Data, Machine...

AI crop predictor aids Africa’s crisis planning

by reperibilita@netseven.it | Jun 6, 2023

[ACCRA] An Artificial Intelligence (AI) tool is using satellite remote sensing and machine learning to predict agricultural yields , to help mitigate the harms of climate change and other crises, its developers say. says the Africa Agriculture Watch (AAgWa) tool will...

Machine Learning and Data Engineering Applications in Agriculture

by reperibilita@netseven.it | Jun 1, 2023

Machine Learning and Data Engineering Applications in Agriculture In this article, we show the importance of interference between Machine Learning, Data Engineering, and Agriculture. The main problems that farmers face on an everyday basis, such as climate changes,...

Three ways that machine learning can bring precision agriculture to small-scale farms

by reperibilita@netseven.it | May 12, 2023

The success of every harvest depends on three things: the crop grown, the environment and the actions of the farmer. Yet the factors behind this simple formula are far more numerous and interconnected: an early rain, fertilizer applied, the genetics of the plant...

Machine learning predicts residential power yield of large PV system fleets

by reperibilita@netseven.it | Feb 28, 2023

Scientists at the Delft University of Technology in the Netherlands have developed a machine-learning (ML) technique to predict power yields in rooftop PV system. They claim it can predict electricity They described their findings in “ Individual yield nowcasting for...
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    About NEX-LABS

    NEX-LABs project includes a partnership of 11 institutions from 7 different countries across the Mediterranean to tackle the challenges of a competitive and inclusive growth thanks to a nexus driven approach. This project is funded by the EU under the ENI CBC Med Programme. With a total budget of €3.450.984,97, the project has received a contribution of € 3.105.866,47 (90%).

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