Resultados de búsqueda - "algorithm"

Use of Commercial Microwave Links (CMLs) in estimating rainfall in Kenya por CGIAR Platform for Big Data in Agriculture

“…We developed an algorithm which can process the raw CMLs data and generate quantitative precipitation estimates at any given point in space. …”
Enlace del recurso

Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems por Brewer, K., Clulow, A.D., Sibanda, M., Gokool, S., Naiken, V., Mabhaudhi, Tafadzwanashe

“…In this regard, the study evaluated the utility of multispectral UAV imagery using the random forest machine learning algorithm to estimate the chlorophyll content of maize through the various growth stages. …”
Enlace del recurso

Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations por Triay, Cecile, Boizet, Alice, Fragoso, Christopher, Gkanogiannis, Anestis, Rami, Jean Francois, Lorieux, Mathias

“…Here, we present a new algorithm for imputation of LC-NGS data that eliminates the need of complex pre-filtering of noisy data, accurately types heterozygous chromosomal regions, precisely estimates crossover positions, corrects erroneous data, and imputes missing data. …”
Enlace del recurso

Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data. por Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

“…This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes in the flood extent and in the context of emergency response. …”
Enlace del recurso

Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data por Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

“…This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes in the flood extent and in the context of emergency response. …”
Enlace del recurso

Detecting spatio-temporal changes in the extent of seasonal and annual flooding in South Asia using multi-resolution satellite data por Amarnath, Giriraj, Ameer, Mohamed, Aggarwal, Pramod K., Smakhtin, Vladimir U.

“…This paper presents algorithm for flood inundation mapping to understand seasonal and annual changes in the flood extent and in the context of emergency response. …”
Enlace del recurso

Detection of Invisible Damages in ‘Rojo Brillante’ Persimmon Fruit at Different Stages Using Hyperspectral Imaging and Chemometrics por Munera, Sandra, Rodríguez-Ortega, Alejandro, Aleixos, Nuria, Cubero, Sergio, Gómez-Sanchís, Juan, Blasco, José

“…First, the spectral data captured from the images were analysed through an algorithm based on principal component analysis (PCA). …”
Enlace del recurso
Enlace del recurso

A comparison of three empirical models for estimating solar radiation in Nigeria por Chineke, T.C., Jagtap, S.S.

“…The statistical analysis revealed that. the temperature based sushine-hour equations can be used to estimate the monthly total solar radiation in Nige ria with high accuracy. An Algorithm requiring latitude in decimals of degree has been presented f or computing the daily theoretical radiation at any location.…”
Enlace del recurso

Marriage between variable selection and prediction methods to model plant disease risk por Suarez, Franco, Bruno, Cecilia, Kurina Giannini, Franca, Gimenez, Maria, Rodriguez Pardina, Patricia, Balzarini, Mónica Graciela

“…Four selection methods were compared: stepwise, which is frequently used in linear models, combined with VIF and p-value statistical criteria (Step+VIF+Pv), and other methods commonly used in ML: filter (F), genetic algorithm (GA), and Boruta (B). The disease risk predictors were constructed with a logistic linear regression model (LR) and the random forest (RF) algorithm, using all the available variables and the subgroups of variables selected by each feature selection method. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

POSHAN's abstract digest on maternal and child nutrition research - Issue 27 por Avula, Rasmi

“…Four articles in this issue used different rounds of the National Family Health Survey data to examine a range of issues including trends in mortality rates, developing an algorithm for predicting newborns’ risk of undernutrition in the first 5 years of life, estimating burden of malnutrition, and coverage and equity of Integrated Child Development Services program.…”
Enlace del recurso

CCAFS-Climate Data Portal por International Center for Tropical Agriculture, CGIAR Research Program on Climate Change, Agriculture and Food Security

“…The data have been originally downloaded from the IPCC data portal and re-processed using an spline interpolation algorithm of the anomalies and the current distribution of climates from the WorldClim database developed by Hijmans et al. (2005). …”
Enlace del recurso

The classification of a Sesbania sesban (sesban) collection. I. Morphological attributes and their taxonomic significance por Heering, J.H., Nokoe, S., Jemal, M.

“…The variety nubica could be further subdivided into 5 groups by both the average linkage and the Partitioning Around Medoids (PAM) algorithms. The average linkage algorithm differentiated accessions mainly on the basis of quantitative characters, whereas the PAM method used qualitative attributes for grouping accessions. …”
Enlace del recurso

The classification of a Sesbania sesban (ssp. sesban) collection. I. Morphological attributes and their taxonomic significance por Heering, J.H., Nokoe, S., Jemal, M.

“…The variety nubica could be further subdivided into 5 groups by both the average linkage and the Partitioning Around Medoids (PAM) algorithms. The average linkage algorithm differentiated accessions mainly on the basis of quantitative characters, whereas the PAM method used qualitative attributes for grouping accessions. …”
Enlace del recurso

Microsatellite variation between an African and five European taurine breeds results in a geographical phylogenetic tree with a bison outgroup por Mommens, G., Peelman, L.J., Zeveren, A. van, D'Ieteren, G.D.M., Wissocq, N.M.

“…The neighbour joining clustering algorithm was used to construct a possible phylogenetic tree. …”
Enlace del recurso

Integrating crop models and machine learning for projecting climate change impacts on crops in data-limited environments por Alimagham, Seyyedmajid, van Loon, Marloes P, Ramirez Villegas, Julian, Berghuijs, Herman N.C., Rosenstock, Todd Stuart, van Ittersum, Martin K.

“…Random Forest and crop model-based algorithms are integrated in three steps: (i) RF1, a Random Forest model integrated with a sowing algorithm, designed to estimate the sowing window and sowing date; (ii) RF2, a Random Forest model combined with a crop model algorithm to estimate cumulative thermal time during the growing season, used to determine the timing of phenological stages; and (iii) RF3, another Random Forest model, trained based on eco-physiological principles applied in phases (i) and (ii), employed to simulate water-limited potential yield. …”
Enlace del recurso

Mapping soil properties of Africa at 250 m resolution: random forests significantly improve current predictions por Hengl, Tomislav, Heuvelink, Gerard B.M., Kempen, Bas, Leenaars, Johan G.B., Walsh, Markus G., Shepherd, Keith D., Sila, Andrew M., MacMillan, Robert A, Mendes de Jesus, Jorge, Tamene, Lulseged D., Tondoh, Jérôme E.

“…Results of 5-fold cross-validation demonstrate that the random forests algorithm consistently outperforms the linear regression algorithm, with average decreases of 15–75% in Root Mean Squared Error (RMSE) across soil properties and depths. …”
Enlace del recurso

Dairy profitability simulator mobile application: IPSR Innovation Profile por Rao, E.J.O., Ojango, Julie M.K., Menjo, Dominic, Kang'ethe, Edwin, Kipkosgei, Gideon, Mogaka, David, Jabes, Yusuf

“…The Dairy profitability simulator is a mobile application that integrates practical and scientific knowledge in an algorithm that projects the expected annual production and profitability of the small-holding enterprise based on known input variables affordable and accessible to the smallholder farmer. …”
Enlace del recurso

Crop growth and soil water balance modeling to explore water management options por Ines, Amor V.M., Droogers, Peter, Makin, Ian W., Das Gupta, A.

“…The comparison of these models was done as a prerequisite to the selection of an appropriate model, which is capable of simulating water management scenarios, water balance and crop growth, to be coupled with an adaptive optimization algorithm that can be used to explore water management options…”
Enlace del recurso

Manual for Modified CAMDT/DSSAT Crop Yield Prediction Model por Garanganga, Bradwell, Nyakutambwa, Trymore

“…Crop capability prediction modelling platforms used in this User Guide are the Climate-AgricultureModelling and Decision Tool (CAMDT) as the weather generator; i.e., it is an algorithm to make temporal downscaling. CAMDT is used to drive the Decision Support System for Agrotechnology Transfer (DSSAT), the crop weather simulation model. …”
Enlace del recurso

Maximum likelihood and an approximate expectation and maximization procedures to estimate dispersion parameters in a data set of combination of censored and uncensored traits por Togashi, K., Rege, J.E.O.

“…The residual variance for a right-censored trait and the residual covariance of a right-censored trait and an uncensored trait are estimated by two methods: maximum likelihood (ML) approach and an approximate expectation and maximization (EM) algorithm which is equivalent to restricted maximum likelihood (REML). …”
Enlace del recurso