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 ...
Introduction: Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. Methods: In this study, we ...
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 ...
Either way, let’s not be in denial about it. Credit...Illustration by Christoph Niemann Supported by By Kevin Roose and Casey Newton Kevin Roose and Casey Newton are the hosts of The Times’s “Hard ...
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 ...
Introduction: Alzheimer's disease (AD) and Parkinson's disease (PD) are two of the most prevalent neurodegenerative disorders, necessitating accurate diagnostic approaches for early detection and ...
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 ...
Abstract: Fruits play an important function in our diet by providing essential fibers, vitamins, and minerals. Accurate detection of fruit ripeness can enhance quality control and reduce food waste.
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