LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...
Finland has spent decades digging caves into its bedrock. Now, as Russia rears its head, nervous Finns want to know: “Where’s my shelter?” Credit... Supported by By Sally McGrane Visuals by Vesa ...
Applied to apple and pear fruit, the model achieved very high accuracy, outperforming previous 2D approaches and traditional algorithms. The 3D structure of plant tissues underlies vital metabolic ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
In the context of a continually growing global population and rising food demand, fruit, as an important source of nutrition, requires quality grading and efficient processing, which are critical ...
Researchers at JECRC University in Jaipur used advanced AI to detect citrus plant diseases from images Their deep learning models InceptionV3 and DenseNet121 accurately identified diseases with over ...
Abstract: This study focuses on identifying cantaloupes using deep learning algorithms. Subsequently, the cantaloupes are categorized into two groups (green and yellow) based on their distinct shape ...
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