Resultados de búsqueda - "algorithm"

Genomic characterization of antimicrobialresistance and virulence factors in Salmonella isolates obtained from pig farms in Antioquia, Colombia por García Álvarez, María Isabel, Vidal, Juana L., Donado Godoy, Pilar, Smith, Jared, Shariat, Nikki, Valencia, María Fernanda, Gómez Osorio, Luis M., López Osorio, Sara, Chaparro Gutiérrez, Jenny J.

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Molecular identification of Fusarium species in commercial vanilla and crop wild relatives in Colombia por Rodríguez Bastidas, Jayerlin, Manrique Barros, Santiago, Riascos Ortiz, Donald, Mosquera Espinosa, Ana T, S Flanagan, Nicola

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Reduction of Genetic Variation When Far From the Niche Centroid: Prediction for Mangrove Species por Ochoa Zavala, Maried, Osorio Olvera, Luis, Cerón Souza, Ivania, Rivera Ocasio, Elsie, Jiménez Lobato, Vania, Núñez Farfán, Juan

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Graph Theory Applications in Advanced Geospatial Research por Ghosh, Surajit, Mallick, Archita, Chowdhury, Anuva, De Sarkar, Kounik

“…The article provides a comprehensive idea about graph theory's key concepts and algorithms that assist the geospatial modelling processes and insights into real-world geospatial challenges and opportunities. …”
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Vision Systems for the Location of Citrus-Fruit in a Tree Canopy por Moltó, Enrique, Pla, F., Juste, Florentino

“…About 80% of visible fruit in the tree was detected with the algorithms implemented, with misclassification rates not exceeding 10%. …”
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Discriminating Robusta coffee (Coffea canephora) cropping systems using leaf-level hyperspectral data por Kebede, G., Mudereri, B.T., Abdel-Rahman, E.M., Mutanga, O., Landmann, T., Odindi, J., Motisi, N., Pinard, F., Tonnang, H.E.Z.

“…These results underline the efficacy of integrating hyperspectral datasets and ML algorithms in reliably categorizing Robusta coffee CSs, a crucial step toward enhancing sustainable coffee cultivation practices.…”
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On the spatio-temporal coherence of extreme precipitation indices in subtropical Argentina por Ricetti, Lorenzo, Hurtado, Santiago Ignacio, Agosta Scarel, Eduardo A.

“…For the regionalization two machine learning clustering algorithms are used—Ward's method and K-means—and a novel stepwise regionalization approach, HAZ. …”
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Estimating real snakebite incidence in Colombia by using mathematical modelling and statistical inference por Bravo Vega, Carlos, Renjifo Ibañez, Camila, Santos Vega, Mauricio, Leon Nuñez, Leonardo Jose, Angarita Sierra, Teddy, Cordovez, Juan Manuel

“…Finally, we calibrated our model with national snakebite reported data from 2010 to 2019 using a Markov chain Monte Carlo (MCMC) algorithm and estimated underreporting based on the total incidence estimation. …”
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Artificial intelligence-based biomonitoring of water quality por Pattinson, N. B., Kuen, R.

“…This report presents our data, methodology, and preliminary results from the automated identification algorithms.…”
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Comparison of carbon assimilation estimates over tropical forest types in India based on different satellite and climate data products por Joseph, S., Laake, P. van, Thomas, A.P., Eklundh, L.

“…The present study compares the two well-known algorithms in satellite based carbon assimilation estimation, the Vegetation Photosynthesis Model (VPM) and the MOD 17A2 GPP Model, over the tropical forest types in India for a period of two years (September, 2006–August, 2008). …”
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Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery por Pizarro, S., Pricope, N.G., Figueroa, D., Carbajal, C., Quispe, M., Vera, J., Alejandro, L., Achallma, L., Gonzalez, I., Salazar, W., Loayza, H., Cruz, J., Arbizu, C.I.

“…Our results indicate that the predictions based on spectral indices, most notably, SRI, GNDWI, NDWI, and ExG, in combination with CART and RF algorithms are superior to those based on individual spectral bands. …”
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High-resolution crop-type mapping in northern Ghana por Alabi, Tunrayo, Muthoni, Francis, Uponi, John, Alabi, William, Oluwaleye, Josiah

“…The classification used random forest (RF) and convolutional neural networks (CNN) algorithms. The study area covered approximately 290,000 hectares in the Northern and Upper East region of Ghana. …”
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A scalable crop yield estimation framework based on remote sensing of solar-induced chlorophyll fluorescence (SIF) por Kira, Oz, Wen, Jiaming, Han, Jimei, McDonald, Andrew J., Barrett, Christopher B., Ortiz-Bobea, Ariel, Liu, Yanyan, You, Liangzhi, Mueller, Nathaniel D., Sun, Ying

“…We compared the performance of MLR to two commonly used machine learning (ML) algorithms: artificial neural network and random forest. …”
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Impacts of farming advisory videos hinge on the goals of extension actors that share them por Coggins, Sam, Munshi, Sugandh, Smith, Jeremy Ingle, Yadav, Anil Kumar, Poonia, Shishpal P., Patil, Shridhar, Singh, Narendra Kumar, Sawarn, A., Ireland, D.C., Singh, Deepak Kumar, Liu, J., Glover, Dominic, Sherpa, Sonam, Sohane, Ravindra Kumar, Craufurd, Peter

“…Future research should examine the goals and behaviors of these algorithmic actors that have increasing influence in agricultural innovation systems.…”
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Using explainable machine learning techniques to unpack farm-level management x climate interactions por Ramírez Villegas, Julián Armando, Jaimes, Diana, Gonzalez Rodriguez, Carlos Eduardo, Llanos, Lizeth, Jimenez, Daniel, Gardeazabal, Andrea, Estrada, Oscar, Nuñez, Daniel

“…The study follows a three-step approach: (1) an Extract, Transform, Load (ETL) process of data, involving feature engineering and data standardization and cleaning; (2) identification of algorithms, metrics, and algorithmic tuning; and (3) delving into interpretability using techniques such as SHAP (SHapley Additive exPlanations), partial dependence plots (PDP), accumulated local effects (ALE) plots, and Friedman's H-statistic to evaluate interactions between features…”
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A global examination of ecological niche modeling to predict emerging infectious diseases: a systematic review por Lawrence, T.J., Takenaka, B.P., Garg, A., Tao, D., Deem, S.L., Fèvre, Eric M., Gluecks, Ilona V., Sagan, V., Shacham, E.

“…A majority of studies (77%) used well-recognized ENM algorithms (MaxEnt and GARP) and model selection procedures. …”
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Smallholder maize yield estimation using satellite data and machine learning in Ethiopia por Guo, Zhe, Chamberlin, Jordan, You, Liangzhi

“…A neural networks model outperforms other algorithms in our study. Importantly, our work indicates that a model developed and calibrated on a previous year’s data can be used to reasonably estimate maize yield in the subsequent year. …”
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UAV Sensing of Rice for Precision Nitrogen Monitoring por Gakhar, Shalini, Sahoo, Rabi N., Rejith, R.G., Kondraju, Tarun Teja, Ranjan, Rajeev

“…Four customary machine learning algorithms, namely, artificial neural network, support vector machines, random forest and multivariate adaptive regression splines regression ha red edge technology. …”
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Pixels to pasture: Using machine learning and multispectral remote sensing to predict biomass and nutrient quality in tropical grasslands por Zwick, Mike, Cardoso, Juan Andres, Gutiérrez-Zapata, Diana María, Cerón-Muñoz, Mario, Gutiérrez, Jhon Freddy, Raab, Christoph, Jonsson, Nicholas, Escobar, Miller, Roberts, Kenny, Barrett, Brian

“…Algorithms belonging to classes of commonly used models; Decision Trees, Support Vector Machines, Neural Networks, distance-based methods, and linear approaches were tested. …”
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Implementing cloud computing for the digital mapping of agricultural soil properties from high resolution UAV multispectral imagery por Pizarro Carcausto, Samuel Edwin, Pricope, Narcisa G., Figueroa Venegas, Deyanira Antonella, Carbajal Llosa, Carlos Miguel, Quispe Huincho, Miriam Rocío, Vera Vilchez, Jesús Emilio, Alejandro Méndez, Lidiana Rene, Achallma Mendoza, Lino, González Tovar, Izamar Estrella, Salazar Coronel, Wilian, Loayza, Hildo, Cruz Luis, Juancarlos Alejandro, Arbizu Berrocal, Carlos Irvin

“…Our results indicate that the predictions based on spectral indices, most notably, SRI, GNDWI, NDWI, and ExG, in combination with CART and RF algorithms are superior to those based on individual spectral bands. …”
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