Publications by authors named "Jose Miguel Molina Martinez"

Article Synopsis
  • Recent advances in hyperspectral imaging (HSI) allow for better detection of fruit defects, such as bruising in oranges, through 3D imaging that includes two spatial dimensions and one spectral dimension.
  • In a study, HSI in the 550-900 nm range was utilized to assess bruising on Thompson oranges after mechanical bruising, with data collected at different time intervals.
  • The results showed that using 3D convolutional neural networks (CNNs) outperformed 2D models in accuracy, suggesting that HSI could greatly improve non-destructive fruit sorting methods in the food processing industry.
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Applying the AgroClimatic Evolution web application allows inquiries being made, data being collected and variables being calculated with the data acquired from different public agrometeorological stations on a single platform. Today all these stations from Murcia and Andalusia (Spain) are included, and stations elsewhere in Spain are being incorporated. This web application also offers the possibility of including each user's own stations, which increases the number and availability of data close to each farmer's plots.

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The challenge today is to optimize agriculture water consumption and minimize leaching of pollutants in agro-ecosystems in order to ensure a sustainable agriculture. The use of different technologies and the adoption of different irrigation strategies can facilitate efficient fertigation management. In this respect, the determination of soil field capacity point is of utmost importance.

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Potatoes are one of the most demanded products due to their richness in nutrients. However, the lack of attention to external and, especially, internal defects greatly reduces its marketability and makes it prone to a variety of diseases. The present study aims to identify healthy-looking potatoes but with internal defects.

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Olive pitting, slicing and stuffing machines (DRR in Spanish) are characterized by the fact that their optimal functioning is based on appropriate adjustments. Traditional systems are not completely reliable because their minimum error rate is 1-2%, which can result in fruit loss, since the pitting process is not infallible, and food safety issues can arise. Such minimum errors are impossible to remove through mechanical adjustments.

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