Resultados de búsqueda - "algorithm"

A proposed decision support tool for wood procurement planning based on stereo-matching of aerial images por Viklund, Johan

“…Two stages are described, namely (1) automatic segmentation using a Mean Shift algorithm; (2) wall-to-wall mapping of the stands using Semi-Global Matching (SGM) in combination with a high-resolution Digital Elevation Model (DEM). …”

Methodological approach for predicting and mapping the phenological adaptation of tropical maize (Zea mays L.) using multi‑environment trials por Tonnang, Henri E.Z., Makumbi, Dan, Craufurd, Peter Q.

“…Multi-environment trial data of 22 maize varieties from 16 trials in Kenya, Ethiopia, and Sudan was analyzed and the Levenberg–Marquardt algorithm combined with statistical criteria was applied to determine the best temperature-dependent model. …”
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Assessment of genetic diversity among low-nitrogen-tolerant early generation maize inbred lines using SNP markers por Ajala, S.O., Olayiwola, M.O., Ilesanmi, O.J., Gedil, Melaku A, Job, A.O., Olaniyan, A.B.

“…The neighbour-joining clustering algorithm and model-based population structure classified the 115 lines into four distinct groups that were generally consistent with the genetic backgrounds of the inbred lines. …”
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Woodland cover change in the Central Rift Valley of Ethiopia por Mesfin, Demamu, Simane, Belay, Belay, Abrham, Recha, John W.M., Taddese, Habitamu

“…Pixel-based supervised image classification with maximum likelihood classification algorithm was used for land cover classification and change detection analyses. …”
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Spatiotemporal assessment of irrigation performance of the Kou Valley Irrigation Scheme in Burkina Faso using satellite remote sensing-derived indicators por Sawadogo, A., Kouadio, L., Traoré, F., Zwart, Sander J., Hessels, T., Gundogdu, K. S.

“…Using multi-temporal Landsat images within the Python module for the Surface Energy Balance Algorithm for Land model, we investigated the spatiotemporal performance patterns of the Kou Valley irrigation scheme (KVIS) during two consecutive cropping seasons. …”
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Genetic diversities and historical dynamics of native Ethiopian horse populations (Equus caballus) inferred from mitochondrial DNA polymorphisms por Effa, K., Rosenbom, S., Han Jianlin, Dessie, Tadelle, Beja-Pereira, A.

“…A network reconstructed from the combined haplotypes using Median-Joining algorithm showed that haplotypes generated from native Ethiopian horses formed separate clusters. …”
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Towards objective measurement of reproductive performance of traditionally managed goat flocks in the drylands of Ethiopia por Alemayehu, Gezahegn, Mamo, G., Alemu, Biruk G., Desta, Hiwot, Wieland, Barbara

“…Together with the remaining annual reproductive performance measures, the ARO and ARW components were included in a PCA to derive an algorithm for a goat annual reproductive performance index (G-ARPI). …”
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Global habitat suitability of Spodoptera frugiperda (JE Smith) (Lepidoptera, Noctuidae): key parasitoids considered for its biological control por Tepa-Yotto, Ghislain T., Tonnang, Henri E.Z., Goergen, Georg E., Subramanian, S., Kimathi, E.K., Abdel-Rahman, E.M., Flo, D., Thunes, K.H., Fiaboe, K., Niassy, S., Bruce, A., Mohamed, S.A., Tamo, Manuele, Ekesi, S., Saethre, M.G.

“…An adjusted procedure of a machine-learning algorithm, the maximum entropy (Maxent), was applied for the modeling experiments. …”
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Water-energy-food planning and operations framework for river basins with a case study on the Blue Nile por Basheer, Mohammed, Siddig, Khalid, Ringler, Claudia

“…In this study, we develop and apply a framework for water resources planning in the Blue Nile using four steps: (1) understanding the water-energy-food nexus management landscape through stakeholder engagement and literature review; (2) developing a detailed daily simulator that captures major nexus components and objectives at a fine temporal scale; (3) linking the simulator to an Artificial intelligence-based search algorithm to design efficient agricultural and dam operation portfolios considering national and sectoral priorities; and (4) presenting the results using interactive visualization tools to facilitate dialogue and support decisions. …”
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Breeding strategy for resistance to Striga asiatica (L.) Kuntze based on genetic diversity and population structure of tropical maize (Zea mays L.) lines por Gasura, Edmore, Nyandoro, Brian, Mabasa, Stanford, Setimela, Peter S., Kyalo, Martina, Yao, Nasser

“…A total of 45, 000 SNP markers were revealed, and these were subjected to analysis of molecular variance, structure analysis and clustering using the Gower’s distance and neighbor joining algorithm. Molecular variance was lager within individuals (91%) than among populations (9%). …”
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Systematic risk profiling: A novel approach with applications to Kenya, Rwanda, and Malawi por Mukashov, Askar, Robinson, Sherman, Thurlow, James, Arndt, Channing, Thomas, Timothy S.

“…Finally, we utilize importance metrics from the random forest machine learning algorithm and relative importance metrics from multiple linear regression models to quantify the importance of country-specific risk factors for country performance. …”
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How did households in Mali cope with covariate shocks between 2018 and 2023? Exploration of a unique dataset por Marivoet, Wim, Hema, Aboubacar

“…Apart from a detailed profiling of both dimensions, this analysis relies on a data mining algorithm to uncover interesting associations between covariate shocks and coping strategies. …”
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How did households in Chad cope with covariate shocks between 2018 and 2023? Exploration of a unique dataset por Marivoet, Wim, Hema, Aboubacar

“…Apart from a detailed profiling of both dimensions, this analysis relies on a data mining algorithm to uncover interesting associations between covariate shocks and coping strategies. …”
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Predicting agronomic traits and associated genomic regions in diverse rice landraces using marker stability por Orhobor, Oghenejokpeme I., Alexandrov, Nickolai N., Chebotarov, Dmytro, Kretzschmar, Tobias, McNally, Kenneth L., Sanciangco, Millicent D., King, Ross D.

“…We used the least absolute shrinkage and selection operator as our marker selection algorithm, and considered twelve real agronomic traits and a hundred simulated traits using a population with approximately a hundred thousand markers. …”
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Nitrogen Response and Economics for Irrigated Corn in Nebraska por Dobermann, A., Wortmann, C.S., Ferguson, R.B., Hergert, G.W., Shapiro, C.A., Tarkalson, D.D., Walters, D.T.

“…At this price ratio the present University of Nebraska (UNL) recommendation procedure gave mean N recommendations that were 17.2 and 68.1 kg ha−1 higher than the mean EONR determined in this study for CC and CD, respectively, but essentially equal to mean EONR for CS. The UNL algorithm, adjusted for mean cropping system EONR gave more accurate prediction of site‐year EONR than alternative N rate predictions for CC and CD with returns to applied nitrogen (RTN) of –$22 and –$13 ha−1 compared with measured site‐year EONR. …”
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Digital descriptors sharpen classical descriptors, for improving genebank accession management: A case study on Arachis spp. and Phaseolus spp. por Conejo-Rodriguez, Diego Felipe, Gonzalez-Guzman, Juan Jose, Ramirez-Gil, Joaquín Guillermo, Wenzl, Peter, Urban, Milan

“…The artificial intelligence algorithms are capable of characterizing accessions which reduces costs generated by additional phenotyping. …”
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Remote sensing approach for detection and attribution of flood inundation, Lower Awash Basin, Ethiopia por Bekele, T. W., Negash, E. D., Asfaw, W., Haile, Alemseged Tamiru

“…We used Sentinel-1 Synthetic Aperture Radar (S-1 SAR) data to detect flood but Sentinel-2 (S-2) optical satellite data to classify land cover by applying a machine learning algorithm. We also used land cover and soil data to generate the Curve Number (CN) map of the study area from 2017 to 2023. …”
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AI-enabled UAV borne hyperspectral imaging for crop-livestock farm management por Sankararao, A.U.G., Rajalakshmi, P., Choudhary, Sunita, Kholova, Jana, Jones, Christopher S.

“…We also emphasize AI/ML-based data analytics and algorithm development on UAV-borne HSI data to revolutionize crop-livestock farming.…”
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Identification of candidate sialome components expressed in ixodid tick salivary glands using secretion signal complementation in mammalian cells por Lambson, B., Nene, Vishvanath M., Obura, M., Shah, Tushaar, Pandit, P., Ole-MoiYoi, O.K., Delroux, K., Welburn, S.C., Skilton, Robert A., Villiers, Etienne P. de, Bishop, Richard P.

“…Ten functional tick secretion signals could not be unambiguously identified using predictive algorithms.…”
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A panel of microsatellite and minisatellite markers for the characterisation of field isolates of Theileria parva por Oura, C.A.L., Odongo, David O., Lubega, G.W., Spooner, P.R., Tait, A., Bishop, Richard P.

“…Cluster analysis of multilocus genotypes from the 14 isolates (using a neighbour joining algorithm) revealed that genetic similarity between isolates was not obviously related to their geographical origin.…”
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