Search Results - "algorithm"

Critical nitrogen dilution curve for processing potato in Argentinean Humid Pampas by Giletto, Claudia Marcela, Echeverria, Hernan Eduardo

“…For processing potato, a new algorithm has been developed to determine nitrogen (N) requirement (NR) applying critical N dilution curve (Nc). …”
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Short-Term Nitrate Uptake Rates for Soilless Culture: Seasonal Empirical Relationships for Rose Crop Production by Roca, Dolors, Belda, R. M., Calatayud, Ángeles, Gorbe, Elisa, Martínez, Pedro F.

“…Integrating the model-based algorithm in the greenhouse control system allows for a precise control of water supply. …”
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Är Bispectral index användbart för att skatta anestesidjup på djur? by Kjellgren, Malin

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Spatiotemporal analysis of historical records (2001–2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk by Bett, Bernard K., Grace, Delia, Hu Suk Lee, Lindahl, Johanna F., Hung Nguyen-Viet, Phuc Pham-Duc, Nguyen Huu Quyen, Tran Anh Tu, Tran Dac Phu, Dang Quang Tan, Vu Sinh Nam

“…Methods The data were analyzed using a hierarchical spatial Bayesian model that approximates its posterior parameter distributions using the integrated Laplace approximation algorithm (INLA). Meteorological, altitude and land cover (LC) data were used as predictors. …”
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Grain Nutrients Variability in Pigeonpea Genebank Collection and Its Potential for Promoting Nutritional Security in Dryland Ecologies by Susmitha, D., Kalaimagal, T., Senthil, R., Vetriventhan, M., Manonmani, S., Jeyakumar, P., Anita, B., Reddymalla, Surender, Choudhari, P.L., Nimje, C.A., Peerzada, Ovais H., Arveti, V.N., Azevedo, V.C.R., Singh, K.

“…Clustering of germplasms based on Ward.D2 clustering algorithm revealed the co-clustering of germplasm from different regions. …”
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Global Rice Paddy Inventory (GRPI): A high-resolution inventory of methane emissions from rice agriculture based on landsat satellite inundation data by Chen, Zichong, Lin, Haipeng, Balasus, Nicholas, Hardy, Andy, East, James D., Zhang, Yuzhong, Runkle, Benjamin R. K., Hancock, Sarah E., Taylor, Charles A., Du, Xinming, Sander, Bjoern Ole, Jacob, Daniel J.

“…Here we use Landsat satellite data at 30 m resolution to map the global monthly distribution of rice paddy fractional areas on a 0.1° × 0.1° (∼10 × 10 km) grid by optimizing an algorithm for flooded vegetation and combining it with a 30 m global cropland database and rice-specific data. …”
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From rangelands to cropland, land-use change and its impact on soil organic carbon variables in a Peruvian Andean highlands: a machine learning modeling approach by Carbajal, Mariella, Ramirez, David A., Turin Canchaya, Cecilia Claudia, Schaeffer, Sean M., Konkel, Julie, Ninanya, Johan, Rinza, Javier, De Mendiburu, Felipe, Zorogastua, Percy, Villaorduña, Liliana, Quiroz, Roberto

“…RF was the best algorithm for SOC and d13CSOC prediction, whereas ANN was the best to model RSOC. …”
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Modeling growth curve parameters in Peruvian llamas using a Bayesian approach by Canaza Cayo, Ali William, Mamani Cato, Rubén Herberth, Churata Huacani, Roxana, Rodríguez Huanca, Francisco Halley, Calsin Cari, Maribel, Huacani Pacori, Ferdeynand Marcos, Cardenas Minaya, Oscar Efrain, de Sousa Bueno Filho, Júlio Sílvio

“…The MCMC method using the Metropolis-Hastings algorithm with noninformative prior distributions was applied in the Bayesian approach. …”
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A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks by Chantre Balacca, Guillermo Ruben, Vigna, Mario Raul, Renzi Pugni, Juan Pablo, Blanco, Anibal Manuel

“…The combination of large ANN with a Bayesian Regularization Algorithm generated satisfactory estimations based on the RMSE values for independent Cumulative Emergence data.…”
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Prediction of the level of astringency in persimmon using visible and near-infrared spectroscopy by Cortés, Victoria, Rodríguez-Ortega, Alejandro, Blasco, José, Rey, Beatriz, Besada, Cristina, Cubero, Sergio, Salvador, Alejandra, Talens, Pau, Aleixos, Nuria

“…Later, a successive projection algorithm (SPA) was applied to select the most effective wavelengths (EWs). …”
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Automatic detection of pomegranate fruit affected by blackheart disease using X-ray imaging by Munera, Sandra, Rodríguez-Ortega, Alejandro, Cubero, Sergio, Aleixos, Nuria, Blasco, José

“…Texture features based on first-order statistics, the grey-level co-occurrence matrix (GLCM), and grey-level histograms with several resolutions were extracted from X-ray images and used to classify the fruit as healthy or infected through the random forest algorithm. The presence of the infection in three levels of severity was later assessed by destructive visual analysis by opening the samples in half. …”
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Nuevo algoritmo para generar patrones espaciales de muestreo de suelos en experimentos agrícolas by Erazo Mesa, Edwin, Echeverri Sánchez, Andrés, Urrutia Cobo, Norberto

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Comparison of forest fire severity classification models based on aerial images and Landsat 8 OLI/TIRS images of a forest fire area in central Sweden by Straker, Adrian

“…Accordingly six different model approaches integrating different compositions of spatial and spectral metrics derived from pre and post fire aerial images were created using random forest as a classification algorithm. Furthermore 3 classification models based on a post fire Landsat 8 OLI/TIRS scene using ordinal regression and already applied classification approaches were created as comparison. …”
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New putative antimicrobial candidates: In silico design of fish-derived antibacterial peptide-motifs by Okella, H., Georrge, J.J., Ochwo, S., Ndekezi, C., Koffi, K.T., Aber, J., Ajayi, C.O., Fofana, F.G., Ikiriza, H., Mtewa, A.G., Nkamwesiga, Joseph, Bassogog, C.B.B., Kato, C.D., Ogwang P.E.

“…To fill the gap and contribute to the current fish-derived antimicrobial peptide repertoire, this study used Support Vector Machines algorithm to fish out fish-antimicrobial peptide-motif candidates encrypted in 127 peptides submitted at the Antimicrobial Peptide Database (APD3), steered by their physico-chemical characteristics (i.e., positive net charge, hydrophobicity, stability, molecular weight and sequence length). …”
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Recent decline in suitable environmental conditions for African great apes by Junker, J, Blake, S, Boesch, C, Campbell, G., Toit, L. du, Duvall, C, Ekobo, A, Etoga, G., Galat-Luong, A, Gamys, J, Ganas-Swaray, J, Gatti, S, Ghiurghi, A, Granier, N, Hart, J, Head, J., Herbinger, I, Hicks, T.C, Huijbregts, B, Imong, I.S, Kuempel, N, Lahm, S, Lindsell, J, Maisels, F., McLennan, M, Martínez, L., Morgan, B, Morgan, D, Mulindahabi, F, Mundry, R, N’Goran, K.P, Normand, E, Ntongho, A, Okon, D.T, Petre, C, Plumptre, A, Rainey, H, Regnaut, S, Sanz, C., Stokes, E, Tondossama, A, Tranquilli, S, Sunderland-Groves, J., Walsh, P, Warren, Y, Williamson, E.A, Kuehl, H.S.

“…We combined a maximum entropy algorithm and logistic regression to relate ape presence information to environmental and human impact variables from the 1990s with a resolution of 5 × 5 km across the entire ape range. …”
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Genetic diversity and population structure of a Peruvian cattle herd using SNP data by Corredor Arizapana, Flor Anita, Figueroa Venegas, Deyanira Antonella, Estrada Cañari, Richard, Salazar Coronel, Wilian, Quilcate Pairazamán, Carlos Enrique, Vásquez Pérez, Héctor Vladimir, Gonzales Malca, Jhony Alberto, Maicelo Quintana, Jorge Luis, Medina Morales, Percy Edilberto, Arbizu Berrocal, Carlos Irvin

“…Also, a dendrogram was constructed using the Neighbor-Joining clustering algorithm. The genetic diversity indices in all breeds showed a high proportion of polymorphic SNPs, varying from 51.42% in Gyr to 97.58% in AFB. …”
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Non-monotonic vegetation activity trends in the Lower Delta of the Paraná River: masking evidence of wetland degradation? by Aquino, Diego Sebastián, Sica, Yanina Vanesa, Quintana, Rubén Darío, Gavier Pizarro, Gregorio Ignacio

“…We used a long-term (2001–2015) fused satellite-derived Normalized Difference Vegetation Index dataset to identify major shifts in vegetation activity trends using the Breaks for Additive Seasons and Trend algorithm. We assembled a set of hydro-climatic, environmental, and anthropogenic variables to study their association with the spatio-temporal patterns of vegetation activity trends. …”
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Beyond pastures, look at plastic: Using Sentinel-2 imagery to map silage bags to improve understanding of cattle intensity by Fernandez, Pedro David, Gärtner, Phillipp, Nasca, Jose Andres, Rojas, Tobias, Gasparri, Nestor Ignacio

“…With freely available Sentinel-2 satellite imagery, we mapped for the first time polyethylene silage bags used for forage conservation in a year with the Random Forest algorithm, and proposed them as a spatial indicator of cattle intensity. …”
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Reclassification of Theileria annae as Babesia vulpes sp. nov. by Baneth, Gad, Florin-Christensen, Mónica, Cardoso, Luís, Schnittger, Leonhard

“…Methods: Four molecular phylogenetic trees were constructed using a maximum likelihood algorithm based on DNA alignments of: (i) near-complete 18S rRNA gene sequences (n = 76 and n = 93), (ii) near-complete and incomplete 18S rRNA gene sequences (n = 92), and (iii) tubulin-beta gene sequences (n = 32) from B. microti and B. microti-related parasites including those detected in dogs and foxes. …”
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Genetic and climatic approaches reveal effects of Pleistocene refugia and climatic stability in an old giant of the Neotropical Dry Forest by Camps, Gonzalo Andres, Martinez Meyer, Enrique, Verga, Anibal, Sérsic, Alicia, Cosacov, Andrea

“…Using two approaches, geo-statistical phylogeography, based on two chloroplast markers, and multi-algorithm-based niche modelling, for the present and for the past, we explored if, during glacial periods, the geographical range of Bulnesia sarmientoi was stable or underwent expansions or retractions in space and time and if there is a relationship among past climatic refugia, the current climatic optimum and genetic diversity. …”
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