Resultados de búsqueda - "computer vision"

Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review por Cubero, Sergio, Lee, Won Suk, Aleixos, Nuria, Albert, Francisco, Blasco, José

“…Computer vision systems are becoming a scientific but also a commercial tool for food quality assessment. …”
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Hyperspectral detection of citrus damage with Mahalanobis kernel classifier por Gómez-Sanchís, Juan, Blasco, José, Moltó, Enrique, Camps-Valls, G.

“…Presented is a full computer vision system for the identification of post-harvest damage in citrus packing houses. …”
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Forages ROIs: Automated forage grass detection in aerial imagery por Ruiz-Hurtado, Andres Felipe, Camelo-Munevar, Rodrigo Andres, Jauregui, Rosa Noemi, Cardoso Arango, Juan Andres

“…Forages ROIs is a computer vision tool for detecting and classifying forage grasses (Urochloa and Megathyrsus species) in high-resolution UAV imagery. …”
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How AI is transforming extension services for precision smallholder farming por Gakhar, Shalini, Singaraju, Niyati

“…By integrating real-time data from sources such as IoT sensors, drones, and advanced computer vision technologies, AI empowers farmers to make informed decisions tailored to the specific needs of their crops and environment (FAO, 2024). …”
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Can the image processing technique be potentially used to evaluate quality of frying oil? por Udomkun, Patchimaporn, Innawong, B., Sopa, W.

“…The objective of this study was to investigate the feasibility of a computer vision system (CVS) for assessing the contact angle of frying oil. …”
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AI4Carbon: Smart Image-Analytics Platform for Monitoring Residue Retention Levels in Rice Production Systems – Automated Visual Quantification por Sowjanya, Palle Sai, Patil, Mukund, Rupavatharam, Srikanth, Gogumalla, Pranuthi, Choudhari, Pushpajeet L., Dihudi, Munmun

“…Using geo-tagged field photographs, computer vision models segment residue, soil, and vegetation at the pixel level and estimate residue retention categories. …”
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AI-driven tree monitoring for silvopastoral systems using remote sensing imagery: Progress report por Ruiz-Hurtado, Andres Felipe, Cardoso Arango, Juan Andrés

“…Considering the characteristics and flexibility of AI models, especially for computer vision tasks, there is also a desire to explore the potential of adapting these approaches to other vision-based monitoring tasks in forage systems.…”
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Top view RGB image dataset of Urochloa hybrids for HTP and AI applications por Cardoso Arango, Juan Andres, Arrechea Castillo, Darwin Alexis, Estupiñan Arboleda, Ronald David, Escobar Graciano, Miller

“…With its extensive annotations and high-resolution imagery, this dataset is poised to advance research and development in plant phenotyping and computer vision, offering a unique tool for the study of tropical forage grasses. …”
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Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables por Cubero, Sergio, Aleixos, Nuria, Moltó, Enrique, Gómez-Sanchís, Juan, Blasco, José

“…Hyperspectral systems provide information about individual components or damage that can be perceived only at particular wavelengths and can be used as a tool to develop new computer vision systems adapted to particular objectives. …”
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A new method to analyse mosaics based on Symmetry Group theory applied to Islamic Geometric Patterns por Albert, Francisco, Gomis, J. M., Blasco, José, Valiente, José Miguel, Aleixos, Nuria

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Hyperspectral system for early detection of rottenness caused by Penicillium digitatum in mandarins por Gómez-Sanchís, Juan, Gomez-Chova, L., Aleixos, Nuria, Camps-Valls, G., Montesinos-Herrero, Clara, Moltó, Enrique, Blasco, José

“…The hyperspectral computer vision system proposed here is capable of detecting damage caused by Penicillium digitatum in mandarins using a reduced set of optimally selected bands.…”
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A mobile-based deep learning model for cassava disease diagnosis por Ramcharan, A., McCloskey, P., Baranowski, K., Mbilinyi, N., Mrisho, L., Ndalahwa, M., Legg, James P., Hughes, D.P.

“…It is essential for model assessment to be conducted in real world conditions if such models are to be reliably integrated with computer vision products for plant disease phenotyping. …”
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Data augmentation enhances plant-genomic-enabled predictions por Montesinos-Lopez, Osval A., Solis-Camacho, Mario Alberto, Crespo Herrera, Leonardo A., Saint Pierre, Carolina, Huerta Prado, Gloria Isabel, Ramos-Pulido, Sofia, Al-Nowibet, Khalid, Fritsche-Neto, Roberto, Gerard, Guillermo S., Montesinos-Lopez, Abelardo, Crossa, José

“…There is much empirical evidence of their success in many computer vision applications. Due to this, DA was explored in the context of GS using 14 real datasets. …”
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Colour and surface fluorescence development and their relationship with Maillard reaction markers as influenced by structural changes during cornflakes production por Farroni, Abel Eduardo, Buera, María del Pilar

“…Colour was measured by a calibrated computer vision system. Surface fluorescence was measured on compressed samples. …”
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Geographic-scale coffee cherry counting with smartphones and deep learning por Rivera Palacio, Juan Camilo, Bunn, Christian, Rahn, Eric, Little-Savage, Daisy, Schimidt, Paul, Ryo, Masahiro

“…Deep learning and computer vision, using remote sensing and drones, are 2 promising nondestructive methods for plant monitoring and phenotyping. …”
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Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses por Espitia Buitrago, Paula Andrea, Ruiz-Hurtado, Andres Felipe, Hernández, Luis Miguel, Jauregui, Rosa Noemi, Cardoso Arango, Juan Andres

“…The files were organized in a folder-based image classification format (sometimes known as ImageNet) compatible with the one required by computer vision classification models.…”
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Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning por Vélez-Rivera, Nayeli, Gómez-Sanchís, Juan, Chanona-Perez, Jorge, Carrasco, Juan José, Millán-Giraldo, Mónica, Lorente, Delia, Cubero, Sergio, Blasco, José

“…Images of damaged and intact areas of mangos were acquired in the range 650–1100 nm using a hyperspectral computer vision system and then analysed to select the most discriminating wavelengths for distinguishing and classifying the two zones. …”
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Utilizing X-ray radiography for non-destructive assessment of paddy rice grain quality traits por Tharanya, M., Chakraborty, D., Pandravada, A., Babu, R., Gangashetti, M., Paidi, S., Choudhary, S., Sivasakthi, K., Anbazhagan, Krithika, Vaditandra, B., Waininger, M., Weule, M., Hufnagel, E., Claußen, J., Vaněk, J., Wittenberg, T., Kholova, J., Gerth, S.

“…Results: The study indicated, computer-vision based methods (X-ray image segmentation, features-based multi-linear models and thresholding) can predict the physical rice traits (chaffiness, CRK%, HRR%). …”
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Machine vision for precise control of weeds por Blasco, José, Benlloch, J. V., Agustí, Manuel, Moltó, Enrique

“…European Project AIR-CT93-1299 (PATCHWORK) was aimed at reducing or eliminating the use of chemicals by automatically detecting the position and/or density of weeds using computer vision and applying an herbicide treatment, which could be chemical or mechanical. …”
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Evaluation of a Citrus Mobile Platform Using a Wireless Impact Recording Device por González, Gyomar, Chueca, Patricia, Ortiz, Coral

“…The picked fruit is transported to a central conveyor belt on which the fruit is transported to the in-line sorting system that classifies the fruit in two categories using a computer vision system and directs the fruit to one of the two different binfillers. …”
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