Search Results - "algorithm"

  1. Flood-based farming systems and human-water dynamics in the Ayeyarwady Delta, Myanmar by Schulte-Kellinghaus, Nikola

    Published 2019
    “…To understand the flood-based farming systems in the Ayeyarwady Delta, the random forest algorithm was applied to generate rice suitability location models and to create suitability maps. …”
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    Tesis
  2. Monitoring and prediction of pasture quality and productivity using planet scope satellite data for sustainable livestock production systems in Colombia by Ghildiyal, Anushka, Cardoso, Juan Andrés

    Published 2020
    “…Field data was related to the remote sensing data using the random forest regression algorithm. R was required for the statistical analysis, to figure out the model performance for IVDMD, CP, Ash and DM. …”
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    Tesis
  3. “Fruit basket upset”: Spatially explicit crop mixture responses to climatic and economic pressures by Robertson, Richard D., Petsakos, Athanasios, Cenacchi, Nicola, Gotor, Elisabetta

    Published 2024
    “…Design/methodology/approach A global agricultural economic model is linked to a cropland allocation algorithm to generate maps of cropland distribution under historical and future conditions. …”
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    Journal Article
  4. Quality of care for severe acute malnutrition delivered by community health workers in southern Bangladesh by Puett, Chloe, Coates, Jennifer, Alderman, Harold, Sadler, Kate

    Published 2013
    “…This study assessed the quality of care provided by community health workers (CHWs) in managing cases of severe acute malnutrition (SAM) according to a treatment algorithm. A mixed methods approach was employed to provide perspectives on different aspects of quality of care, including technical competence and acceptability to caretakers. …”
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    Journal Article
  5. Solving large nonconvex water resources management models using generalized benders decomposition by Cai, Ximing, McKinney, Daene C., Lasdon, L. S., Watkins, D.

    Published 2001
    “…In this paper, we apply the Generalized Benders Decomposition (GBD) algorithm to two large nonconvex water resources models involving reservoir operations and water allocation in a river basin, using an approximation to the GBD cuts proposed by Floudas et al. (1989) and Floudas (1995). …”
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    Journal Article
  6. Joint mapping of quantitative trait loci for multiple binary characters by Xu, Chenwu, Li, Zhikang, Xu, Shizhong

    Published 2005
    “…We treat the multivariate liabilities as missing values so that an expectation-maximization (EM) algorithm can be applied here. We also extend the method to joint mapping for both discrete and continuous traits. …”
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    Journal Article
  7. T cell epitope identification for bovine vaccines: An epitope mapping method for BoLA A-11 by Groot, A.S., Nene, Vishvanath M., Hegde, N.R., Srikumaran, S., Rayner , J., Martin, W.

    Published 2003
    “…Similar tools are not yet available for predicting T cell epitopes for animal vaccines, but there may be sufficient data available to begin the process of compiling the algorithms. We describe the construction of a novel mathematical `matrix' that describes the properties of bovine major histocompatibility complex (BoLA) system antigen (BoLA) A-11 peptide ligands, developed for use with EpiMatrix, an existing T cell epitope-mapping algorithm. …”
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    Journal Article
  8. Fourier analysis of historical NOAA time series data to estimate bimodal agriculture by Canisius, F., Turral, Hugh, David, S.

    Published 2007
    “…This result indicates that estimating bimodal agriculture area that is one of the main sources of information for irrigated area mapping at regional or global scale, with improved accuracy possible if greater spatial, temporal resolution is achieved, for instance from MODIS or SPOT vegetation time series NDVI data, combined with (1) an improved decision tree classification algorithm and (2) a greater precision and geographical distribution of ground-truth data. …”
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    Journal Article
  9. Accounting for correlation among environmental covariates improves delineation of extrapolation suitability index for agronomic technological packages by Muthoni, Francis K., Baijukya, Frederick P., Bekunda, Mateete A., Sseguya, H., Kimaro, Anthony A., Alabi, T., Mruma, S., Hoeschle-Zeledon, Irmgard

    Published 2019
    “…A modified extrapolation detection algorithm was used to generate maps on two types of dissimilarities between environmental conditions at the reference sites and the outlying projection domain. …”
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    Journal Article
  10. Remote sensing approach for spatial planning of land management interventions in West African savannas by Heiskanen, J., Liu, J., Valbuena, R., Aynekulu, Ermias, Packalen, P., Pellikka, P.

    Published 2017
    “…The modelling was done using Random Forest algorithm. According to our results, tree crown cover and correlated attributes, such as basal area and tree species richness, were predicted most accurately. …”
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    Journal Article
  11. Wrapper for building classification models using Covering Arrays by Dorado, Hugo Andres, Cobos, Carlos, Torres Jimenez, Jose, Burra, Dharani Dhar, Mendoza, Martha, Jiménez, Daniel

    Published 2019
    “…This lack of accuracy, by which the new wrapper fails to match PSO, is offset by the fact that the user does not need to fine tune algorithm parameters, such as velocity ranges, timing, cognitive coefficient, and social coefficient, while it is also much easier to program in parallel.…”
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    Journal Article
  12. Genetic diversity and population structure of Brachiaria (syn. Urochloa) ecotypes from Uganda by Namazzi, C., Sserumaga, J.P., Mugerwa, S., Kyallo, Martina M., Mutai Collins, K., Mwesigwa, R., Djikeng, Appolinaire, Ghimire, Sita R.

    Published 2020
    “…The Bayesian model based clustering algorithm showed three allelic pools in Ugandan ecotypes. …”
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    Journal Article
  13. Horizon scanning to assess the bioclimatic potential for the alien species Spodoptera eridania and its parasitoids after pest detection in west and central Africa by Tepa-Yotto, Ghislain T., Gouwakinnou, G.N., Fagbohoun, J.R., Tamo, Manuele, Saethre, M.

    Published 2021
    “…The current work was carried out to predict the potential spatial distribution of SAW and four of its co-evolved parasitoids at a global scale using the maximum entropy (Maxent) algorithm. RESULTS SAW may not be a huge problem outside its native range (the Americas) for the time being, but may compromise crop yields in specific hotspots in coming years. …”
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    Journal Article
  14. Media analysis for crop protection: Utilizing AI to monitor top five priority diseases in agriculture by Kim, Soonho, Song, Xingyi, Park, Boyeong, Ko, Daeun, Liu, Yanyan

    Published 2023
    “…Looking ahead to 2024, the team plans to refine the system further, enhance the algorithm, and add more pests and diseases to the monitoring list. …”
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    Informe técnico
  15. Decomposing USDA ending stocks forecast errors by Goyal, Raghav, Adjemian, Michael K., Glauber, Joseph W., Meyer, Seth

    Published 2023
    “…We apply a decision-tree-based ensemble Machine Learning (ML) algorithm, the Extreme Gradient Boost Tree (EGBT), that uses a gradient boosting framework and is robust to multicollinearity. …”
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    Journal Article
  16. Linkage analysis and integrated software GAPL for pure-line populations derived from four-way and eight-way crosses by Zhang, Luyan, Meng, Lei, Wang, Jiankang

    Published 2019
    “…Expected genotypic probability is then derived for each pair of complete markers, and based on them a maximum likelihood estimate (MLE) of recombination frequency is calculated. An EM algorithm is proposed for calculating recombination frequencies in scenarios that at least one marker is incomplete. …”
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    Journal Article
  17. Enhancing groundwater predictions by incorporating response lag effects in machine learning models by Yang, F., Zhang, X., Yang, J., Zhang, J., Dai, Q., Zhu, S.

    Published 2025
    “…Two groundwater prediction models using the random forest algorithm were developed, one incorporating the lag effect and the other excluding it. …”
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    Journal Article
  18. The Nutrition-Sensitive Food Environment Index: A comprehensive approach to assessing food environments in association with health risks for policy decision making by Akingbemisilu, Tosin Harold, Jordan, Irmgard, Asiimwe, Robert, Bodjrenou, Sam, Nabuuma, Deborah, Odongo, Nicanor, Onyango, Kevin Omondi, Teferi, Ermias, Tokeshi, Casey, Lundy, Mark, Termote, Celine

    Published 2025
    “…The machine learning algorithm XGBoost was used to predict health risks from Demographic and Health Surveys (DHS) data, integrated into food environment data through geospatial techniques. …”
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    Journal Article
  19. Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions by Quiróz, R., Posadas, A., Yarleque, C., Heidinger, Haline, Raymundo, R., Carbajal, M., Cruz, Mariana, Guerrero, J., Mares, V., Silvestre, Elisabeth, Jones, C., Carvalho, Leila M. V., Dinku, Tufa

    Published 2012
    “…This report summarizes the results of the proof of concept phase in the development and testing of a novel data reconstruction method and a downscaling algorithm based on the multiplicative random cascade disaggregation method using rainfall signals at different spatial and temporal resolutions. …”
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    Artículo preliminar

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