Resultados de búsqueda - "algorithm"

MarkSim: Software to generate daily weather data for Latin America and Africa por Jones, Peter G., Thornton, Philip K.

“…The climate normals for these stations were assembled into 664 groups using a clustering algorithm. For each of these groups, rainfall model parmeters are predicted from monthly means of rainfall, air temperature, diurnal temperature range, and station elevation and latitude. …”
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How big is your neighborhood? Spatial implications of market participation by smallholder livestock producers por Lapar, Ma. Lucila, Hallowell, G., Ehui, Simeon K.

“…Estimation requires a Metropolis-step addition to a basic Gibbs sampling algorithm and generates useful insights concerning quantities that are important for market-access policy.…”
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Codling moth, Cydia pomonella, antennal responses to Metschnikowia pulcherrima and Metschnikowia andauensis synthesised volatiles por Lindblom, Tobias

“…Utilizing a wavelet-based peak separation and spectral enhancement algorithm, compounds in otherwise undetectable amounts could be identified. …”
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Application of iPBS-retrotransposons markers for the assessment of genetic diversity and population structure among sugar beet (Beta vulgaris) germplasm from different regions of t... por Sadık, Gökhan, Yildiz, Mehtap, Taşkın, Bilgin, Koçak, Metin, Cavagnaro, Pablo, Baloch, Faheem Shehzad

“…It was determined that the most genetically different genotypes were PI 590697-US11 and PI 171508-TR8, with a distance of 0.73. Clustering algorithms Unweighted Pair Group Method Algorithm (UPGMA) and Principal Coordinate Algorithm (PCoA) confirmed that genotypes are an important factor in clustering, and STRUCTURE analysis divided sugar beet gene resources into six populations. …”
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Local partial least squares based on global PLS scores por Shen, Guanghui, Lesnoff, Matthieu, Baeten, Vincent, Dardenne, Pierre, Davrieux, Fabrice, Ceballos, Hernán, Belalcázar, John Eiver, Dufour, Dominique, Yang, Zengling, Han, Lujia, Fernández Pierna, Juan Antonio

“…It could be concluded that the root‐mean‐square error of prediction of LPLS and LPLS‐S were 1.1962 and 1.1602, respectively, but the calculation speed for LPLS‐S was more than 20 times faster than for the LPLS algorithm.…”
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The paper of how: Estimating treatment effects using the front-door criterion por Bellemare, Marc F., Bloem, Jeffrey R., Wexler, Noah

“…In our application, we look at the effect of deciding to share an Uber or Lyft ride on tipping by exploiting the algorithm-driven exogenous variation in whether one actually shares a ride conditional on authorizing sharing, the full fare paid, and origin–destination fixed effects interacted with two-hour interval fixed effects. …”
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Leveraging unsupervised machine learning to examine women's vulnerability to climate change por Caruso, German, Mueller, Valerie, Villacis, Alexis

“…We compare climate impact estimates based on drought indicators established objectively from the k-means algorithm to more traditional measures. Young women affected by drought were 5 percentage points more likely to be married by 18 than those living in nondrought areas. …”
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Genetic variation analysis of the genus Passiflora L. using RAPD markers por Fajardo, Diego, Angel, F., Grum, M., Tohme, Joseph M., Lobo Arias, Mario, Roca, W., Sánchez, I.

“…A dendrogram constructed using the Dice similarity coefficient and the UPGMA algorithm based on 626 reproducible polymorphic products ranging in size from 2.8 to 0.3 Kb revealed high levels of variation within and among species, and clustering of accessions according to species. …”
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Endogeneity corrected stochastic production frontier and technical efficiency por Shee, Apurba, Stefanou, E.S.

“…We extend the Levinsohn and Petrin (2003) approach and provide an estimation algorithm to overcome the problem of endogenous input choice in stochastic production frontier estimation by generating consistent estimates of production parameters and technical efficiency. …”
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Climate change and disease dynamics: Predicted changes in ecological niches for Rift Valley fever in East Africa por Bett, Bernard K., Otieno, Fredrick T., Murithi, Faith

“…Ecological niche modelling, implemented using the Random Forest algorithm, is used for these scenario analyses. Generally, global warming is predicted to cause local shifts on ecological niches of RVF, with some of the infected areas such as those in the coastal Kenya and northern Tanzania being expected to become more suitable for the disease. …”
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Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features por Blasco, José, Aleixos, Nuria, Gómez-Sanchís, Juan, Moltó, Enrique

“…The system combines spectral information about the defects with morphological estimations of them in order to classify the fruits in categories. The fruit-sorting algorithm proposed here was tested by using it to identify the defects in more than 2000 citrus fruits, including mandarins and oranges. …”
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Assessing the joint effects of landscape, farm features and crop management practices on berry damage in coffee plantations por Vilchez-Mendoza, Sergio, Romero-Gurdián, Ali, Avelino, Jacques, DeClerck, Fabrice, Bommel, Pierre, Betbeder, Julie, Cilas, Christian, Bagny Beilhe, Leila

“…Evaluate their individual and joint contributions, their relative importance and the effects of these variables on the number of infested berries, using the variance partitioning approach of the RandomForest algorithm. The results suggest that to develop a pest management strategy at the local scale, it is important to consider the effect of local changes and landscape factors that affect the abundance of pests. …”
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Routing field channels through a tertiary unit with heterogeneous fields por Anwar, Arif A., Bhatti, Muhammad Tousif

“…This paper develops a mathematical model/algorithm for routing the field channel along the existing field boundaries such that every field is serviced by a field channel and minimizing the total length of the field channel as a proxy measure of the cost of construction of field channels. …”
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Assessing the future global distribution of land ecosystems as determined by climate change and cropland incursion por Robertson, Richard D., Pinto, Alessandro de, Cenacchi, Nicola

“…We combine a natural vegetation model responsive to climate with a cropland allocation algorithm to assess the relative importance of climate change compared to cropland incursion. …”
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Climate information systems (CIS) for aquaculture por Stander, Henk, Greengrass, Catherine, Oladejo, Sunday, Watson, Bruce, Nel, Aldi, Salie, Khalid, Noris, Netsayi, Kakwasha, Keagan, Lundeba, Mary, Peerzadi, Rumana, Siamudaala, Victor

“…The AICCRA project developed an air-water temperature relationship algorithm used to forecast pond water temperatures for integration with the data hub of the Intelligent Agricultural Systems Advisory Tool (iSAT) and an early temperature warning decision tree matrix. …”
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Application of explainable AI techniques to site-specific and climate-smart management of maize systems in Colombia por Jaimes, Diana, Estrada, Oscar, Gonzalez, Arturo, Llanos Herrera, Lizeth, Ramirez Villegas, Julian

“…This study analyzes maize yield in response to agronomy and climate using machine learning algorithms. The approach employed addresses the explainability of machine learning algorithms, including data extraction, transformation, and loading (ETL), algorithm selection and tuning, and techniques to deepen interpretability. …”
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Mapping the potential distribution of plants and animals for wildlife management: the use of the DOMAIN software package por Gillison, A.N.

“…A habitat envelope or environmental domain is then computed based on these correlates. The algorithm then matches the template with the known environmental values for all pixels in the area under study and maps out similarity classes. …”
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Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese por Xueliang Cai, Yuanlai Cui

“…Landsat enhanced thematic mapper plus (ETM+) images and moderate resolution imaging spectroradiometer (MODIS) normalized difference vegetation index (NDVI) monthly data were res-merged to produce a mega data tube, which was then classified using ISO cluster algorithm. Spectral signature of each class was extracted and identified using spectral matching technique taking crop coefficient curve as reference. …”
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Assessment of multi - date sentinel - 1 polarizations and GLCM texture features capacity for onion and sunflower classification in an irrigated valley: An object level approach por Caballero, Gabriel, Platzech, Gabriel, Pezzola, Nestor Alejandro, Casella, Alejandra An, Winschel, Cristina Ines, Silva, Samanta, Ludueña, Emilia, Pasqualotto, Nieves, Delegido, Jesús

“…The field samples database was used for training and supporting a supervised classification with two machine learning algorithms—Random Forest (RF) and Support Vector Machine (SVM)—obtaining high levels of accuracy in each case. …”
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Global warming opens the door for invasive macrophytes in Swedish lakes and streams por Hallstan, Simon

“…By matching the species distribution with current climate using the computer program GARP (Genetic Algorithm for Rule-set Prediction), I have created a niche for each species. …”