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Machine learning system for commercial banana harvesting

Hayat, Ahatsham; Baglat, Preety; Mendonça, Fábio; Mostafa, Sheikh Shanawaz; Dias, Fernando Morgado; Baglat, Preety; Silva Mendonça, Fábio Rúben

<jats:title>Abstract</jats:title> <jats:p>The conventional process of visual detection and manual harvesting of the banana bunch has been a known problem faced by the agricultural industry. It is a laborious activity associated with inconsistency in the inspection and grading process, leading to post-harvest losses. Automated fruit harvesting using computer vision empowered by deep learning could significantly ...


Electricity, Transportation, and Water Provision of 100% Renewable Energy for R...

Torabi, Roham; Gomes, Álvaro; Morgado-Dias, Fernando

The integration of variable renewable energy sources in islands has become crucial in reducing their dependency on imported fossil fuels. This study aimed to assess the energy transition of an island towards a 100% renewable energy system for power generation, inland transport, and potable water provision. Linking various fossil-fuel-consuming sectors, such as transport and potable water supply systems, may str...


Availability and performance of face based non-contact methods for heart rate a...

Gupta, Ankit; Ravelo-García, Antonio G.; Dias, Fernando Morgado; Gupta, Ankit; Ravelo-García, Antonio G.; Morgado-Dias, Fernando

Background: Consumer-level cameras have provided an advantage of designing cost-effective, non-contact physiological parameters estimation approaches which is not possible with gold standard estimation tech niques. This encourages the development of non-contact estimation methods using camera technology. Therefore, this work aims to present a systematic review summarizing the currently existing face-based non-c...


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