Resultados de búsqueda - Random variables.

Parámetros genéticos de la longitud de panícula en arroz por Amela, FA, Vallejo Cabrera, Franco Alirio, Martínez Racines, César Pompilio, Borrero Correa, Jaime C.

“…The used design was randomized complete blocks with four replications. The variance analysis for the variable: panicle length, number of primary ramifications per panicle, number of secondary ramifications per panicle, number of branches per plant, number of panicle per plant, percentage of sterility showed significant differences (p<0.01) between generations. …”
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Estimación de los niveles nutricionales de hojas de cítricos mediante análisis no destructivo aplicando técnicas de aprendizaje automático por Miralles, Guillem, Rodríguez-Carretero, Isabel, Cubero, Sergio, Martínez, Marcelino, Mateo, Fernando, Albert, Francisco, Quinones, Ana, Blasco, José, Gómez-Sanchis, Juan

“…The methodology involved the application of several machine learning regression methods (linear regression, partial least squares, random forest, support vector regression, and Ada Boost). …”
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Predicting starch content in cassava fresh roots using near-infrared spectroscopy por Mbanjo, E., Hershberger, J.M., Peteti, P., Agbona, A., Ikpan, A., Ogunpaimo, K., Kayondo, S.I., Abioye, R.S., Nafiu, K., Alamu, Emmanuel Oladeji, Adesokan, Michael, Maziya-Dixon, Busie, Parkes, Elizabeth Y., Kulakow, Peter A., Gore, M.A., Egesi, Chiedozie N., Rabbi, I.Y.

“…The 11 trials were aggregated to capture more variability, and the performance of the combined data was evaluated using two additional algorithms, random forest (RF) and support vector machine (SVM). …”
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Can a history of crop rotations improve the prediction of soil organic carbon in the Andes? Integrating machine learning multi-annual crop classification as a proxy of soil managem... por Bueno, M., Loayza, H., Ninanya, J., Rinza, J., Briceño, P., Silva, L., Mestanza, C., Otiniano, R., Kreuze, Jan F., Ramirez, D.

“…Time series of multispectral Sentinel-2 Level-2A Top of Canopy imagery were used to derive phenological features—such as the timing of maximum canopy cover and the length of the growing period—based on Normalized Difference Vegetation Index (NDVI) time series. A Random Forest classifier was used as the baseline model. …”
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Total elemental composition of soils in Sub-Saharan Africa and relationship with soil forming factors por Towett, Erick K., Shepherd, Keith D., Tondoh, Jérôme E., Winowiecki, Leigh Ann, Tamene, Lulseged D., Nyambura, Mercy, Sila, Andrew M., Vågen, Tor-Gunnar, Cadisch, Georg

“…The samples were from 34 sentinel sites measuring 10 × 10 km, randomized within major climate zones in SSA. Within each sentinel site there were sixteen spatially stratified 1 km2 clusters, within which there were ten 100 m2 plots. …”
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Genetic Diversity and Population Structure of Capirona (Calycophyllum spruceanum Benth.) from the Peruvian Amazon Revealed by RAPD Markers por Saldaña Serrano, Carla Lizet, Cancan, Johan D., Cruz Hilacondo, Wilbert Eddy, Correa, Mirian, Ramos León, Haydeé Miriam, Cuellar Bautista, José Eloy, Arbizu Berrocal, Carlos Irvin

“…Currently, it is possible to explore genetic diversity and population structure in a fast and reliable manner by using molecular markers. We here used 10 random amplified polymorphic DNA (RAPD) markers to analyze the genetic diversity and population structure of 59 samples of capirona that were sampled from four provinces located in the eastern region of the Peruvian amazon. …”
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Evaluation of the impact of mitochondrial variation in the estimation of breeding values for dairy cattle por Mafra Fortuna, Gabriela

“…However, an increasing number of studies are connecting mitochondrial polymorphisms to variability in phenotypical expression in many species. …”
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Selection of a suitable probability model for the analysis of biochemical data from soil por Rossi, Maria Sol, Mon, Rodolfo, Irurtia, Carlos Bernardino

“…The size of the experimental unit was 4.200 m. The number of variable continuous quantitative biochemical measures was 10. …”
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Diversidad y complejidad de los modelos de toma de decisiones y organización productiva en el sector agropecuario del Noreste Pampeano. Aportes para la mejora de la extensión y el... por Torrado Porto, Roberto

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Clonal trial of five genotypes of “camu-camu”, Myrciaria dubia (h.b.k) mc. Vaugh, in non-flooded area por Pinedo Freyre, Sergio Fernando, Imán Correa, Sixto Alfredo, Pinedo Panduro, Mario, Vasquez, Armando, Collazos, Herman

“…The experiment was established with a completely randomized block statistical design (CRBD) with five treatments and four replications, and each experimental unit consisted of nine plants, with a distance of 3 x 3 m. …”
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En jämförelse mellan två datorprogram för utbytesberäkningar por Samuelsson, Johan

“…The results are affected by both random and systematic errors. Some of them are related to the method this study is based on. …”
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Unexploited profit among smallholder farmers in central Malawi: what are the sources? por Assa, M.M., Edriss, A.K., Matchaya, Greenwell C.

“…Flexible Stochastic Profit Frontier Analysis was used to measure profit efficiency. Farmers from 200 randomly selected farmers were interviewed for plot level data. …”
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Determinants of profit efficiency among smallholder beef producers in Botswana por Bahta, Sirak T., Baker, Derek

“…The study examines a cross section of farm - level data gathered from 556 randomly selected livestock producers to investigate the profit efficiency and competitiveness of three farm size categories of small holder livestock farmers. …”
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Antimicrobial resistance in community-acquired enteric pathogens amongst children ≤10-years in low- and middle-income countries: a systematic review and meta-analysis por Okumu, Noah O., Muloi, Dishon M., Moodley, Arshnee, Watson, J., Kiarie, Alice, Ochieng, Linnet, Wasonga, Joseph O., Mutisya, Christine, Alumasa, Lorren, Ngeranwa, J.J.N., Cumming, O., Cook, Elizabeth A.J.

“…The limitations of our findings include high regional variability, significant interstudy heterogeneity, and underrepresentation of certain LMICs.…”
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Comparison Between Machine Learning Models for Yield Forecast in Cocoa Crops in Santander, Colombia por Lamos Díaz, Henry, Puentes Garzón, David Esteban, Zarate Caicedo, Diego Alejandro

“…Se comparan los algoritmos de máquinas de soporte vectorial (SVM), modelos ensamblados (Random Forest, Gradient Boosting) y el modelo de regresión Least Absolute Shrinkage and Selection Operator (LASSO). …”
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Effect of Noug Seed Cake (Guizotia Abssinica) With Local Brewery (Areke Atella) on Reproductive Performance and Body Weight Gain of Bonga Breed Ram in Kaffa Zone, Southwest Ethiopi... por Gebre, Agegnehu

“…Moreover, all examined variables within the replacement groups found no significant differences (P>0.05). …”
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Revisiting the levels of aerosol optical depth in South-Southeast Asia, Europe and USA amid the COVID-19 pandemic using satellite observations por Acharya, P., Barik, G., Gayen, B. K., Bar, S., Maiti, A., Sarkar, A., Ghosh, Surajit, De, S.K., Sreekesh, S.

“…The weekly anomaly of AOD, NO2 and SO2 was used for analyzing the space-time variation of aerosol load as restrictions were imposed by the concerned countries at the different points of time. Additionally, a random forest-based regression (RF) model was used to examine the effects of meteorological and emission parameters on the spatial variation of AOD. …”
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Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV) :a case study in a commercial vineyard por Poblete Echeverria, Carlos, Olmedo, Guillermo Federico, Ingram, Ben, Bardeen, Matthew

“…Therefore, the objective of this study was to compare the performance of four classification methods (K-means, Artificial Neural Networks (ANN), Random Forest (RForest) and Spectral Indices (SI)) to detect canopy in a vineyard trained on VSP. …”
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Secuencias de cultivos anuales para forraje y pastura perenne en suelo agrícola degradado por Bertin, Oscar Dario, Camarasa, Jonatan Nicolás, Barletta, Pablo Fernando, Mattera, Juan, Pacente, Ezequiel Martin, Beribe, Maria Jose

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Study of statistic stability to select high-yielding and stable peach genotypes por Maulión, Evangelina, Valentini, Gabriel Hugo, Ornella, Leonardo Alfredo, Pairoba, Claudio Fabián, Daorden, Maria Elena, Cervigni, Gerardo Domingo Lucio

“…Fruit yield stability was studied using data of fruit yield from 25 peach genotypes under three environments, arranged in a completely randomized design with three replications. Frosts, chilling, heat, rainfall and the interactions among them were considered as explanatory variables of yield variation through years. …”
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