Search Results - Regression analysis Data processing.

Estimación de ocurrencia de granizo en superficie y daño en cultivos, mediante datos del radar meteorológico utilizando técnicas de Data Mining by Bellini Saibene, Yanina Noemi

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Multiparametric analysis and authentication of Argentinian vinegars from spectral sources by Wagner, Marcelo, Zaldarriaga Heredia, Jorgelina, Montemerlo, Antonella, Ortiz, Daniela Alejandra, Camina, José, Garrido, Mariano, Azcarate, Silvana

“…Furthermore, a classification approach was performed on wine vinegar samples to classify them according to their acetification process. At first, the data provided by each individual sensor (UV-Vis and NIR) were separately analyzed by PLS-iscriminant analysis. …”
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Using machine learning for image-based analysis of sweetpotato root sensory attributes by Nakatumba-Nabende, J., Babirye, C., Tusubira, J., Mutegeki, H., Nabiryo, A., Murindanyi, S., Katumba, A., Nantongo, J.S., Sserunkuma, E., Nakitto, M., Ssali, R.T., Makunde, G.S., Moyo, M., Campos, Hugo

“…The work involved capturing images of boiled sweetpotato cross-sections using the DigiEye imaging system, data pre-processing for background elimination and feature extraction to develop machine learning models to predict the flesh-colour and mealiness sensory attributes of different sweetpotato varieties. …”
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Enhancing irrigation management: Unsupervised machine learning coupled with geophysical and multispectral data for informed decision-making in rice production by Chaali, Nesrine, Ramírez Gomez, Carlos Manuel, Jaramillo Barrios, Camilo Ignacio, Garr´e, Sarah, Barrero, Oscar, Ouazaa, Sofiane, Calderon Carvajal, John Edinson

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Lagring av skogsflis med och utan täckning : substansförlusters påverkan av nederbörd och vind by Wetterholm, Daniel

“…Regression analysis is used to explore the correlation between precipitation and temperature in the piles. …”

Value chain analysis of dairy in Laelay Maychew and Adwa Districts in Central Zone of Tigray, Ethiopia by Tekelyesus, H.

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Analysis of vegetable market chain in Dugda Woreda, east Shoa Zone, Oromia Region, Ethiopia by Setegn, D.

“…This was supplemented by secondary data collected from different published and unpublished sources. …”
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Analysis of agricultural input supply system: the case of Dale Woreda, Southern Nations, Nationalities and Peoples’ Region by Kubayo, K.S.

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A systematic review and meta-analysis of the potential of millets for managing and reducing the risk of developing diabetes mellitus by Anitha, Seetha, Kane-Potaka, Joanna, Tsusaka, Takuji W., Botha, Rosemary, Rajendran, Ananthan

“…Millets with intermediate GI (55–69) are pearl millet, finger millet, kodo millet, little millet, and sorghum which have a 13–35% lower GI than the control with high GI (>69). A meta-analysis also showed that all millets had significantly (p < 0.01) lower GI than white rice, refined wheat, standard glucose or white wheat bread except little millet which had inconsistent data. …”
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Campylobacter positivity and public health risks in live bird markets, Busia, Kenya: A value chain analysis by Mbai, Josephat, Njoroge, Samuel M., Obonyo, M., Otieno, C., Owiny, M., Fèvre, Eric M.

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Multivariate mapping of soil with structural equation modelling by Angelini, Marcos Esteban, Heuvelink, Gerard B.M., Kempen, Bas

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Prevalence of Escherichia coli, Campylobacter spp. and Salmonella spp. in the East African Community: a systematic literature review and meta-analysis by Kuboka, Maureen, Mutie, Ianetta, Artursson, K., Lindahl, Johanna F., Carlsson, G., Mutua, Florence K., Grace, Delia

“…Significant heterogeneity was observed and further explored through meta-regression and subgroup analyses. Contamination levels varied by food type, processing status, sample size, and country. …”
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Unlocking the household ‘Black Box’: a gendered analysis of smallholder farmers' participation in the cassava (Manihot esculenta crantz) value chain in Tanzania by Masamha, Blessing, Thebe, V., Uzokwe, Veronica N.E.

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Diet quality and urbanization in Mozambique by Smart, Jenny, Tschirley, David, Smart, Francis

“…We use national household expenditure survey data and a set of ordinary least square and analysis of variance regressions to observe patterns of current diet quality across city size categories, household income, household education, and other demographic variables. …”
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Is it worth to recuperate degraded pasturelands? An evaluation of profits and costs from the perspective of livestock producers and extension agents in Honduras by Holmann, Federico J., Argel M., Pedro J., Rivas Ríos, Libardo, White, D., Estrada, R.D., Burgos, C., Pérez, E., Ramírez, G., Medina, A.

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Is it worth to recuperate degraded pasturelands? An evaluation of profits and costs from the perspective of livestock producers and extension agents in Honduras by Holmann, Federico J., Argel M., Pedro J., Rivas Ríos, Libardo, White, D., Estrada, R.D., Burgos, C., Pérez, E., Ramírez, G., Medina, A.

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In-Field Forage Biomass and Quality Prediction Using Image and VIS-NIR Proximal Sensing with Machine Learning and Covariance-Based Strategies for Livestock Management in Silvopasto... by Serpa Imbett, Claudia M., Gómez Palencia, Erika L., Medina Herrera, Diego A., Mejía Luquez, Jorge A., Martínez, Remberto R., Burgos Paz, William O., Aguayo Ulloa, Lorena A.

“…Machine learning models, including linear regression, LASSO, Ridge, ElasticNet, k-nearest neighbors, and decision tree algorithms, were employed for predictive analysis, achieving high accuracy with R2 values ranging from 0.938 to 0.998 in predicting biomass and quality traits. …”
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Non-Destructive Appraisal of Macro- and Micronutrients in Persimmon Leaves Using Vis/NIR Hyperspectral Imaging by Acosta, Maylin, Rodríguez-Carretero, Isabel, Blasco, José, De-Paz, José M., Quinones, Ana

“…Partial least square regression (PLS-R) was used to predict the nutrient concentration based on spectral data from the leaf using actual values of each element as predictor variables. …”
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Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR by Enriquez Pinedo, Lucía, Ortega Quispe, Kevin, Ccopi Trucios, Dennis, Urquizo Barrera, Julio, Rios Chavarría, Claudia, Pizarro Carcausto, Samuel, Matos Calderon, Diana, Patricio Rosales, Solanch, Rodríguez Cerrón, Mauro, Ore Aquino, Zoila, Paz Monge, Michel, Castañeda Tinco, Italo

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Assessment of coffee quality and its related problems in Jimma Zone of Oromia Regional State by Abasanbi, A.A.

“…The laboratory data analysis was computed by using general linear model (GLM) procedures of SAS version 9.2. …”
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