Resultados de búsqueda - Architectural models

High accuracy of genome-enabled prediction of belowground and physiological traits in barley seedlings por Puglisi, Damiano, Visioni, Andrea, Özkan, Hakan, Kara, Ibrahim, Roberta Lo Piero, Angela, Rachdad, Fatima Ezzahra, Tondelli, Alessandro, Valè, Giampiero, Cattivelli, Luigi, Fricano, Agostino

“…Genomic prediction models for seminal root number were fitted using threshold and log-normal models, considering these data as ordinal discrete variable and as count data, respectively, while for seminal root angle and transpiration rate, genomic prediction was implemented using models based on extended genomic best linear unbiased predictors. …”
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Space qualities : att beskriva och kommunicera stadsrummets kvaliteter por Holgersson, Johanna

Multiple-trait analyses improved the accurary of genomic prediction and the power of genome-wide association of productivity and climate change-adaptive traits in lodgepole pine por Cappa, Eduardo Pablo, Chen, Charles, Klutsch, Jennifer G., Azcona, Jaime Sebastián, Ratcliffe, Blaise, Wei, Xiaojing, Da Ros, Letitia, Ullah, Aziz, Liu, Yang, Benowicz, Andy, Sadoway, Shane, Mansfield, Shawn D., Erbilgin, Nadir, Thomas, Barb R., El-Kassaby, Yousry A.

“…The main objectives of this study were to: (1) identify genetic markers associated with these traits and determine their genetic architecture, and to compare the marker detected by single- (ST) and multiple-trait (MT) GWA models; (2) evaluate and compare the accuracy and control of bias of the genomic predictions for these traits underlying different ST and MT parametric and non-parametric GP methods. …”
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Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why por Castillo-Gironés, Salvador, Munera, Sandra, Martinez-Sober, Marcelino, Blasco, José, Cubero, Sergio, Gómez-Sanchis, Juan

“…Despite requiring a large amount of training data, ANNs with shallow architectures demonstrate superior performance in extracting relevant features and establishing accurate models, instilling confidence in their effectiveness compared to conventional machine learning methods. …”
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Modelos genéricos de biomasa aérea para especies forestales en función de la arquitectura y la ocupación del rodal por Avendaño Reyes, J.R.

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Modelos genéricos de biomasa aérea para especies forestales en función de la arquitectura y la ocupación del rodal por Avendaño Reyes, Jeimmy R.

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En generell processkartläggning av leveransplanering för biobränsle i Sverige por Haapaniemi, Magnus

“…The results of the study have shown one generic IDEF0- model for suppliers and two generic models for customers. …”
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The ÓMICAS alliance, an international research program on multi-omics for crop breeding optimization por Jaramillo Botero, Andres, Colorado, Julian D., Quimbaya, Mauricio, Rebolledo, María Camila, Lorieux, Mathias, Ghneim-Herrera, Thaura, Arango, Carlos A., Tobón, Luis E., Finke, Jorge, Rocha, Camilo, Muñoz, Fernando, Riascos, John J., Silva, Fernando, Chirinda, Ngonidzashe, Caccamo, Mario Jose, Vandepoele, Klaas, Goddard, William A.

“…Here, we describe OMICAS’ R&D trans-disciplinary multi-project architecture, explain the overall strategy and methods for crop-breeding, recent progress and results, and the overarching challenges that lay ahead in the field.…”
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Metod för beräkning av kalkylvärdet vid införsäkring av lantbruksbyggnader por Fridén, Magnus

Omsluten av digitala fullskalemodeller : en undersökning av potentialen med Virtual Reality som representationsform och processverktyg inom landskapsarkitektur por Ekström, Marcus

Växtkraft : ett gestaltningsförslag för Järåskolans utemiljö por Skogelid, Evelina

Convolutional neural networks to assess bergamot essential oil content in the field from smartphone images por Anello, Matteo, Mateo, Fernando, Bernardi, Bruno, Giuffrè, Angelo Maria, Blasco, José, Gómez-Sanchis, Juan

“…Custom-built convolutional neural networks (CNN) and three transfer learning models (VGG-16, VGG-19, and Xception architectures) were trained and applied for classification (among different discrete levels of oil content) and regression (to predict the EO content). …”
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Urban sandy habitats : designing through nature conservation methods por Szilassy, Boglárka

Understanding readiness for building a decentralised data hub for agricultural data in Guatemala por Stiglich, Lucas, Snaith, Ben, D'Addario, Josh

“…Through analysis of open user-centric data sharing models and legal-regulatory barriers, this study investigates the opportunities and challenges in developing such a decentralized architecture. …”
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Hur rekreation kan mätas i Grönytefaktormodellen por Emanuelsson, Karin

Om mötandet: till en typologi över urbana mötesplatser por Sjöberg, Josef

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Pakistan: Getting more from water por Young, William J., Anwar, Arif, Bhatti, Tousif, Borgomeo, Edoardo, Davies, Stephen

“…A consideration of water sector architecture and performance and how these determine outcome leads to recommendations for improving aspects of sector performance and adjusting sector architecture for better outcomes. …”
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UAV Flight Orientation and Height Influence on Tree Crown Segmentation in Agroforestry Systems por Baselly Villanueva, Juan Rodrigo, Fernández Sandoval, Andrés, Pinedo Freyre, Sergio Fernando, Salazar Hinostroza, Evelin Judith, Cárdenas Rengifo, Gloria Patricia, Puerta, Ronald, Huanca Diaz, José Ricardo, Tuesta Cometivos, Gino Anthony, Vallejos Torres, Geomar, Goycochea Casas, Gianmarco, Álvarez Álvarez, Pedro, Ismail, Zool Hilmi

“…These traits were associated with the detection and confusion patterns observed across the models, highlighting the importance of crown architecture in automated segmentation and the potential of UAVs combined with YOLO algorithms for the efficient monitoring of tropical agroforestry systems.…”
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Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI por Gomez, Daniela, Selvaraj, Michael Gomez, Casas, Jorge, Mathiyazhagan, Kavino, Rodriguez, Michael, Assefa, Teshale, Mlaki, Anna, Nyakunga, Goodluck, Kato, Fred, Mukankusi, Clare, Girma, Ellena, Mosquera, Gloria, Arredondo, Victoria, Espitia, Ernesto

“…The study employed data augmentation techniques and annotation at both whole and micro levels for comprehensive analysis. To train the model, we utilized three advanced YOLO architectures: YOLOv7, YOLOv8, and YOLO-NAS. …”
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Ekosystembaserad biomimik : hantering av klimatförändringar med hållbar design por Hedlund, Johanna