Search Results - Random variables.

The contribution of local shrubs to the carbon footprint reduction of traditional dairy systems in Cundinamarca, Colombia by González-Quintero, Ricardo, Sierra-Alarcón, Andrea Milena, Benavides-Cruz, Juan Carlos, Mayorga-Mogollón, Olga Lucía

“…The comparison of the effect of the tree species on the measured variables was carried out by analysis of variance under a completely random design. …”
Get full text

Estimating and understanding crop yields with explainable deep learning in the Indian wheat belt by Wolanin, Aleksandra, Mateo-Garciá, Gonzalo, Camps-Valls, Gustau, Gómez-Chova, Luis, Meroni, Michele, Duveiller, Gregory, You, Liangzhi, Guanter, Luis

“…The DL model outperformed other tested models (ridge regression and random forest) and facilitated the interpretation of variables and processes that lead to yield variability. …”
Get full text

Unpacking Joint Decision-making by Measures for Advancing Gender Equality (MAGNET) Initiative

“…But evidence shows that wives and husbands have systematically different perceptions of who makes these decisions across contexts and intra-household disagreement is often not random; women “taking power” correlates with other women’s empowerment variables. …”
Get full text

Production risk and technical efficiency of dry-season vegetable farmers in the Upper East Region of Ghana by Akolgo, J. A., Osei-Asare, Y. B., Sarpong, D. B., Asem, F. E., Quaye, W.

“…The study reveals that the input variables: labour, seed, fertilizer, agrochemical and irrigation costs positively are related to the output value of vegetables with an increasing return to scale. …”
Get full text

Effect of iron supplementation on mental and motor development in children: systematic review of randomised controlled trials by Sachdev, H. P. S., Gera, Tarun, Nestel, Penelope

“…Results The pooled estimate (random effects model) of mental development score standardised mean difference (SMD) was 0.30 (95% confidence interval (CI) 0.15 to 0.46,P< 0.001;P< 0.001 for heterogeneity). …”
Get full text

Optimal machine learning algorithms and UAV multispectral imagery for crop phenotypic trait estimation: a comprehensive review and meta-analysis by Ndour, Adama, Blasch, Gerald, Valente, João, Bisrat Gebrekidan, Sida, Tesfaye Shiferaw

“…Ultimately, the challenges and future research prospects of UAV-based predictions related to the phenotype data variability, the choice of UAV platform, the model complexity and interpretability are discussed. …”
Get full text

Cassava micro-regions in part of eastern Paraguay : An explanation of their form and comparative study of cassava production within some of them by Carter, Simon E.

“…Cassava-specific microregions in part of eastern Paraguay, a climatically homogeneous area, were defined on the basis of secondary data and systematic random sampling of agricultural settlements. It was found that production is concentrated in the departments of Caaguazu, Itapua, San Pedro, Paraguari, Cordillera, Caazapa, Guaira, and Alto Parana. …”
Get full text

Association between Rift Valley fever virus seroprevalences in livestock and humans and their respective intra-cluster correlation coefficients, Tana River County, Kenya by Bett, Bernard K., Lindahl, Johanna F., Sang, R., Wainaina, M., Kairu-Wanyoike, S., Bukachi, S., Njeru, I., Karanja, J., Ontiri, E., Njenga, M.K., Wright, D., Warimwe, G.M., Grace, Delia

“…Data collected were analysed using generalised linear mixed effects models, with herd/household and village being fitted as random variables. The overall RVFv seroprevalences in livestock and humans were 25.41% (95% confidence interval (CI) 23.49–27.42%) and 21.20% (17.86–24.85%), respectively. …”
Get full text

Contribution of local knowledge in cocoa (Theobroma cacao L.) to the well‑being of cocoa families in Colombia a response from the relationship by Gutiérrez Garcia, Gustavo Adolfo, Gutiérrez Montes, Isabel A, Suárez Salazar, Juan Carlos, Casanoves, Fernando, Gutiérrez Suárez, David Ricardo, Hernández-Núñez, Héctor Eduardo, Butler Flora, Cornelia, Sibelet, Nicole

“…Thus, producers with greater integral knowledge, with emphasis on post-harvest and bean transformation links, showed greater well-being. The Random Forest analysis identified that human capital (political, social, human, and cultural) made the greatest contribution to well-being. …”
Get full text

Evaluación de líneas de frijol común tolerantes a suelos con bajos contenidos de nitrógeno y fósforo en Honduras by Cabana A., Belky J., Zevallos P., Carlos E.

“…También se evaluó la distancia genética de las líneas con marcadores moleculares RAPD (Random amplified polymorphic DNA). Las líneas Campechano y SER 125 mostraron un rendimiento superior en suelos con bajos contenidos de N y P. …”
Get full text

Evaluación de líneas de frijol común tolerantes a suelos con bajos contenidos de nitrógeno y fósforo en Honduras by Cabana A., Belky J., Zevallos P., Carlos E.

“…También se evaluó la distancia genética de las líneas con marcadores moleculares RAPD (Random amplified polymorphic DNA). Las líneas Campechano y SER 125 mostraron un rendimiento superior en suelos con bajos contenidos de N y P. …”
Get full text

El desarrollo del comercio internacional de El Salvador: aplicación de un modelo gravitacional by Guardado F., Mariana M.

“…Consecuentemente, se observa un impacto positivo de las variables, sin embargo, no significativo para el comercio internacional del país.…”
Get full text

Evaluación del crecimiento de plantines de hortalizas de hojas con diferentes edades en sustratos orgánicos by Ulle, Jorge Angel

“…Fueron caracterizadas variables de crecimiento, de plantines de hortalizas de hojas, con diferente edad ( 20 y 40 días) en tres mezclas de sustratos orgánicos ( M1, M2, M3). …”
Get full text

Rörelsemönster och golvrenhet på två olika slags spaltgolv i lösdrift för mjölkkor by Rosbacke, Carina

“…Each one of the seven traits was analysed using a mixed random-intercept model, specifying floor type as the only fixed effect and cow identity as random. …”

Metagenomics survey unravels diversity of biogas microbiomes with potential to enhance productivity in Kenya by Muturi, S.M., Muthui, Lucy W., Njogu, P.M., Onguso, J.M., Wachira, F.N., Opiyo, S.O., Pelle, Roger

“…The obstacle to optimal utilization of biogas technology is poor understanding of biogas microbiomes diversities over a wide geographical coverage. We performed random shotgun sequencing on twelve environmental samples. …”
Get full text

Geographic distribution of Colombian spittlebugs (Hemiptera: Cercopidae) via ecological niche modeling: a prediction for the main tropical forages’ pest in the Neotropics by Hernández, Luis Miguel, Espitia, Paula A., Florián, David, Castiblanco, Valheria, Cardoso Arango, Juan Andrés, Gómez-Jiménez, María I.

“…Different ecological niche models (ENM) were generated for each species: maximum entropy (Maxent), generalized linear (glm), multivariate adaptive regression spline (MARS), and random forest model (rf). Bioclimatic datasets were obtained from WorldClim and the 19 available variables were used as predictors. …”
Get full text

E-registration and spatial referencing and tracking of farmers in three countries: Case study of Ghana, Nigeria and Cote d’Ivoire by Arouna, A., Aboudou, R., Yergo, Wilfried, Ouédraogo, M., Abdoulaye, Tahirou

“…Because of the large number of observations (15,285 actors), data can be used as sampling frame for further experiment or surveys based on random samples. Moreover, the dataset has the potential of generating descriptive statistics at the most disaggregated level of administrative units or villages for different equipment, methods and varieties adopted by gender and country.…”
Get full text

Evidence of Histoplasma capsulatum seropositivity and exploration of risk factors for exposure in Busia county, western Kenya: Analysis of the PAZ dataset by Cornell, T.R., Thomas, Lian F., Cook, Elizabeth A.J., Pinchbeck, G., Bettridge, Judy M., Gordon, L., Kivali, Velma, Kiyong'a, Alice, Fèvre, Eric M., Scantlebury, C.E.

“…Potential epidemiologic risk factors for H. capsulatum exposure were explored using multi-level multivariable logistic regression analysis with household and sub-location included as random effects. Principal findings The apparent sample seroprevalence of anti-Histoplasma antibody was 15.5% (n = 104/670, 95% Confidence Interval (CI) 12.9–18.5%). …”
Get full text

Innovations scaling and assessment: Spatial referencing and tracking of farmers in Democratic Republic of the Congo by Arouna, A., Aboudou, R., Yergo, W.G., Ouedraogo, M., Abdoulaye, T.

“…Because of the large number of observations (3,550 actors), data can be used as sampling frame for further experiments or surveys based on random samples. Moreover, the dataset has the potential of generating descriptive statistics at the most disaggregated level of administrative units or villages for different equipment, methods and varieties adopted by gender and country.…”
Get full text

Bangladesh, Baseline Data of SHAHAR Project, CARE-Bangladesh, 2000 by International Food Policy Research Institute

“…Households were selected randomly from a complete listing done as part of a census in the areas only a few months before. …”
Get full text