Resultados de búsqueda - "algorithm"

Satellite-surface-area machine-learning models for reservoir storage estimation: regime-sensitive evaluation and operational deployment at Loskop Dam, South Africa por Retief, H., Vigneswaran, Kayathri, Ghosh, Surajit, Garcia Andarcia, Mariangel, Dickens, Chris

“…Four nested feature sets were examined: (i) raw water area, (ii) + a power law “calculated volume” proxy, (iii) + six river geometry metrics, and (iv) + fullsupply elevation. Five candidate algorithms, Gradient Boosting (GB), Random Forest (RF), Ridge (RI), Lasso (LA) and Elastic Net (EN), were tuned using a 20 draw random search and assessed with a five fold Timeseries Split to eliminate look ahead bias. …”
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The utility of process-based models for simulating N2O emissions from soils: A case study based on Costa Rican coffee plantations por Hergoualc'h, Kristell, Harmand, J.M., Cannavo, P., Skiba, U., Oliver, R., Henault, C.

“…Nevertheless, the two models differed greatly in describing the nitrification and denitrification processes. Some of the algorithms in the model NGAS were apparently not applicable to these tropical acidic Andosols. …”
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A reliable and non-destructive method for estimating forage shrub cover and biomass in arid environments using digital vegetation charting technique por Louhaichi, Mounir, Hassan, Sawsan, Clifton, Kathryn, Johnson, Douglas E.

“…In this study, an estimate of greenness (percent green vegetation cover) was extracted by way of greenness algorithms. Simple linear regressions between vegetation cover and biomass for 210 plots were performed. …”
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Arabidopsis phenotyping through geometric morphometrics por Manacorda, Carlos Augusto, Asurmendi, Sebastian

“…High-throughput platforms and the development of improved algorithms for rosette image segmentation make it possible to extract shape and size parameters for genetic, physiological, and environmental studies on a large scale. …”
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Multispectral inspection of citrus in real-time using machine vision and digital signal processors por Aleixos, Nuria, Blasco, José, Navarron, F., Moltó, Enrique

“…This work includes the development of a multispectral camera, which is able to acquire visible and near infrared images from the same scene; the design of specific algorithms and their implementation on a specific board based on two DSPs that work in parallel, which allows to divide the inspection tasks in the different processors, saving processing time. …”
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Genetic variation and evolutionary forces shaping Cucumber vein yellowing virus populations: risk of emergence of virulent isolates in Europe por Velasco, Leonardo, Salem, N., Willemsen, Anouk, Lapidot, M., Mansour, A. N., Rubio, Luis, Galipienso, Luis

“…A similar topology was observed for P1b but with incongruences with respect to the CP, suggesting genetic exchange among virus isolates, which were confirmed with recombination algorithms. The low genetic diversity within the European phylogroup with respect to the other isolates, neutralist tests and genetic differentiation analyses suggest that the Middle East region is the cradle of CVYV and that a unique virus introduction event occurred in Europe, where the virus spread rapidly. …”
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Epidemiological cut-off values for Vibrio parahaemo lyticus calculated from minimal inhibitory concentration data generated at 35 and 28°C por Smith, Peter, Joseph, Andrew, Baker-Austin, Craig, Kang, Nisha, Baron, Sandrine, Le Devendec, Laëtitia, Jouy, Eric, Chisnall, Thomas, Davies, Alistair R., Schwarz, Stefan, Feßler, Andrea T., Ahrens, Tanja, Jahnen, Johanna, Alter, Thomas, Fleischmann, Susanne, Hammerl, Jens Andre, Jäckel, Claudia, Gieseker, Charles, Crosby, Tina C., Kittel, Elliott C., Miller, Ron A., Alexander, Trevor, Carranza, Kayleigh, Burbick, Claire B., Ching, Biyun, Heng Soh, Jun, Chng, You Rong, Wong, Wai Kwan, Fernandez, Charlene J., Chang, Siow Foong, Verner-Jeffreys, David, Powell, Andy

“…Data were analysed by the ECOFFinder and normalised resistance interpretation algorithms. The cut-off values calculated for ceftazidime, florfenicol and trimethoprim/sulfamethoxazole, 1, 1 and 0.25/4.75 µg ml-1, respectively, were the same when calculated from data obtained at both temperatures. …”
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In-depth genetic diversity and population structure of endangered Peruvian Amazon rosewood germplasm using Genotyping by Sequencing (GBS) technology por Azhar Nadeem, Muhammad, Vasquez Guizado, Stalin Juan, Qasim Shahid, Muhammad, Amjad Nawaz, Muhammad, Habyarimana, Ephrem, Ercişli, Sezai, Ali, Fawad, Karaköy, Tolga, Aasim, Muhammad, Hatipoğlu, Rüştü, Castro Gómez, Juan Carlos, Marapara Del Aguila, Jorge Luis, Adrianzén Julca, Pedro Marcelino, Torres Canales, Esperanza, Hwan Yang, Seung, Chung, Gyuhwa, Shehzad Baloch, Faheem

“…The implemented clustering algorithms, i.e.; STRUCTURE, neighbor-joining analysis and principal coordinate analysis (PCoA) separated the studied germplasm on the basis of their geographical locations. …”
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Implementing artificial intelligence to measure meat quality parameters in local market traceability processes por Alvarez García, Wuesley Yusmein, Mendoza, Laura, Muñoz Vílchez, Yudith Yohany, Casanova Núñez Melgar, David, Quilcate Pairazaman, Carlos

“…However, it also underlines the urgent need for further research and development of new techniques and tools such as artificial intelligence algorithms, the development of more sensitive and accurate multispectral sensors, advances in computer vision for 3D image analysis and automated detection, and the integration of advanced ultrasonography with other technologies. …”
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Climate change and tree cover loss affect the habitat suitability of Cedrela angustifolia evaluating climate vulnerability and conservation in Andean montane forests por Ames Martínez, Fressia N., Capcha Romero, Ivan, Guerra, Anthony, Inga Guillen, Janet Gaby, Quispe Melgar, Harold Rusbelth, Galeano, Esteban, Rodríguez Ramírez, Ernesto C

“…Using ecological niche modeling with two algorithms (maximum entropy (MaxEnt) and Random Forest) under the ecological niche conservatism approach, we generated 16,920 models with different combinations of variables and parameters. …”
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Integration of agronomic information, vegetation indices (VIs), and meteorological data for phenological monitoring and yield estimation of rice (Oryza sativa L.) por Fernandez Jibaja, Jorge Antonio, Atalaya Marin, Nilton, Álvarez Robledo, Yeltsin Abel, Taboada Mitma, Víctor Hugo, Cruz Luis, Juancarlos Alejandro, Tineo Flores, Daniel, Goñas Goñas, Malluri, Gómez Fernández, Darwin

“…Among the regression algorithms tested, support vector regression (SVR) demonstrated the highest predictive accuracy (R² = 0.81) for the Bellavista variety at the maximum tillering stage. …”
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Yield estimation based on agronomic traits in vegetables under different biochar levels por Ccopi Trucios, Dennis, Requena Rojas, Edilson Jimmy, Arias Arredondo, Alberto, Taipe Crispin, Maglorio, Marcelo Matero, Jhonny Demis, Pizarro Carcausto, Samuel Edwin

“…This research substantiates biochar’s effectiveness as an organic amendment while establishing a reliable framework for crop yield prediction using machine learning algorithms integrated with spectral data. These findings position biochar as a valuable component in sustainable agricultural systems, particularly for vegetable production in challenging high-altitude environments.…”
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Ensemble machine learning for digital mapping of soil pH and electrical conductivity in the Andean agroecosystem of Peru por Carbajal Llosa, Carlos Miguel, Barja , Antony, Pizarro Carcausto, Samuel Edwin

“…By using simple and weighted averaging, we developed a heterogeneous ensemble learning approach that integrates machine learning (ML) algorithms, including Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest (RF), and Extreme Gradient Boosting (XGBoost). …”
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Recent land use and land cover change dinamics in the Gran Chaco Americano por Banchero, Santiago, De Abelleyra, Diego, Veron, Santiago Ramón, Mosciaro, Maria Jesus, Arevalos, Fabiana, Volante, Jose Norberto

“…We used Random Forest machine learning algorithms trained by samples produced by visual interpretation of high resolution images. …”
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Household-specific targeting of agricultural advice via mobile phones: Feasibility of a minimum data approach for smallholder context por Steinke, Jonathan, Onyango Achieng, Jerusha, Hammond, James, Kebede, Selamawit S., Mengistu, Dejene Kassahun, Mgimiloko, Majuto Gaspar, Mohammed, Jemal N., Musyoka, Joseph, Sieber, Stefan, Gevel, Jeske M.J, van de, Wijk, Mark T. van, Etten, Jacob van

“…In future digital agricultural advisory applications, collecting little data from farmers at each interaction may feed into learning algorithms that continuously improve the targeting of advice.…”
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The Usefulness of Gridded Climate Data Products in Characterizing Climate Variability and Assessing Crop Production por Joseph, Jacob Emanuel, Akinrotimi, Omotayo O., Rao, Karuturi P.C., Ramaraj, Palanisamy, Sibiry Traoré, Pierre C., Sujatha, Peethan, Whitbread, Anthony M.

“…Gridded estimates of weather parameters produced through data assimilation algorithms that integrate satellite and irregularly distributed on-ground observations from multiple observing networks are a potential alternative. …”
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TpUB05, a Homologue of the Immunodominant Plasmodium falciparum Protein UB05, Is a Marker of Protective Immune Responses in Cattle Experimentally Vaccinated against East Coast Feve... por Dinga, Jerome Nyhalah, Wamalwa, Mark, Njimoh, Dieudonné Lemuh, Njahira, Moses N., Djikeng, Appolinaire, Skilton, Robert A., Titanji, Vincent Pryde Kehdingha, Pellé, Roger

“…Bioinformatics analysis of TpUB05 gene was carried out using algorithms found in the public domain. Polyclonal antiserum against recombinant TpUB05 were raised in rabbits and used for further analysis by Western blotting, ELISA, immunolocalization and in vitro infection neutralization assay. …”
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Knowing the lay of the land: Changes to land use and cover and landscape pattern in village tank cascade systems of Sri Lanka por Ratnayake, Sujith S., Reid, Michael, Larder, Nicolette, Hunter, Danny, Ranagalage, Manjula, Kogo, Benjamin, Dharmasena, Punchi B., Kariyawasam, Champika S.

“…Multispectral Landsat images (5 TM and 8 OLI/TIRS) obtained from Google Earth Engine were classified using machine learning algorithms. Overall accuracies obtained were 85.9% (1994) and 88.6% (2021). …”
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Model collaboration for the improved assessment of biomass supply, demand, and impacts por Wicke, Birka, van der Hilst, Floor, Daioglou, Vassilis, Banse, Martin, Beringer, Tim, Gerssen-Gondelach, Sarah, Heijnen, Sanne, Karssenberg, Derek, Laborde Debucquet, David, Lippe, Melvin, van Meijl, Hans, Nassar, André, Powell, Jeff, Gerdien Prins, Anne, Rose, Steve N. K., Smeets, Edward M. W., Stehfest, Elke, Tyner, Wallace E., Verstegen, Judith A., Valin, Hugo, van Vuuren, Detlef P., Yeh, Sonia, Faaij, André P. C.

“…But, full consistency or integration in assumptions, structure, solution algorithms, dynamics and feedbacks can be difficult to achieve. …”
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Advanced Prediction of Rice Yield Gaps Under Climate Uncertainty Using Machine Learning Techniques in Eastern India por Sahoo, Satiprasad, Singha, Chiranjit, Govind, Ajit

“…Finally, machine learning algorithms were used to identify rice yield gaps to achieve sustainable agricultural intensification. …”
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