Search Results - "algorithm"

Bundling climate smart agriculture and climate information services: the CSA Bundler Application by Tepa Yotto, Ghislain, Dalaa, Mustapha Alasan, Obeng Adomaa, Faustina

“…The CSA Bundler has potential for further advancement into web- or phone-based applications and with robust algorithms or AI component integration for accurate and high-resolution site-specific recommendation…”
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Mitochondrial phylogeography and population structure of the cattle tick Rhipicephalus appendiculatus in the African Great Lakes region by Amzati, Gaston S., Pelle, Roger, Muhigwa, J.B., Kanduma, Esther G., Djikeng, Appolinaire, Madder, M., Kirschvink, N., Marcotty, T.

“…Phylogenetic relationships between tick populations were determined and evolutionary population dynamics models were assessed by mismach distribution.Population genetic analysis yielded 22 cox1 and 9 12S haplotypes in a total of 209 and 126 nucleotide sequences, respectively. Phylogenetic algorithms grouped these haplotypes for both genes into two major clades (lineages A and B). …”
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The feasibility of using low-density marker panels for genotype imputation and genomic prediction of crossbred dairy cattle of East Africa by Aliloo, H., Mrode, Raphael A., Okeyo Mwai, Ally, Ni, G., Goddard, M.E., Gibson, John P.

“…Here, we investigated the efficacy of imputation in crossbred dairy cattle populations of East Africa using 4 different commercial single nucleotide polymorphisms (SNP) panels, 3 reference populations, and 3 imputation algorithms. We found that Minimac and a reference population, which included a mixture of crossbred and ancestral purebred animals, provided the highest imputation accuracy compared with other scenarios of imputation. …”
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Canopy indices to quantify the economic optimum nitrogen rate in processing potato by Giletto, Claudia Marcela, Echeverria, Hernan Eduardo

“…The objective of our study was to evaluate indices to predict the differential economic optimum N rate (dEONR) using a SPAD 502 chlorophyll meter, a Crop Circle ACS-210 (CC), and a Green Seeker 506 (GS). Additionally, algorithms were developed to determine N fertilizer variable rates. …”
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Virus Detection by High-Throughput Sequencing of Small RNAs: Large-Scale Performance Testing of Sequence Analysis Strategies by Massart, Sebastien, Chiumenti, Michela, De-Jonghe, Kris, Glover, Rachel, Haegeman, Annelies, Koloniuk, Igor, Kominek, Petr, Kreuze, Jan, Kutnjak, Denis, Lotos, Leonidas, Maclot, Francois, Maliogka, Varvara, Maree, Hans J., Olivier, Thibaut, Olmos, Antonio, Pooggin, Mikhail M., Reynard, Jean-Sebastien, Ruiz-García, Ana B., Safarova, Dana, Schneeberger, Pierre H., Sela, Noa, Turco, Silvia, Vainio, Eeva J., Varallyay, Eva, Verdin, Eric, Westenberg, Marcel, Brostaux, Yves, Candresse, Thierry

“…Many different bioinformatics algorithms aimed at detecting viruses in HTS data have been reported but little attention has been paid thus far to their sensitivity and reliability for diagnostic purposes. …”
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Near real-time agriculture monitoring at national scale at parcel resolution: Performance assessment of the Sen2-Agri automated system in various cropping systems around the world by Defourny, Pierre, Bontemps, Sophie, Bellemans, Nicolas, Cara, Cosmin, Dedieu, Gérard, Guzzonato, Eric, Hagolle, Olivier, Inglada, Jordi, Nicola, Laurentiu, Rabaute, Thierry, Savinaud, Mickael, Udroiu, Cosmin, Valero, Silvia, Bégué, Agnès, Dejoux, Jean-François, El Harti, Abderrazak, Ezzahar, Jamal, Kussul, Nataliia, Labbassi, Kamal, Lebourgeois, Valentine, Miao, Zhang, Newby, Terrence, Nyamugama, Adolph, Salh, Norakhan, Shelestov, Andrii, Simonneaux, Vincent, Sibiry Traoré, Pierre C., Traoré, Souleymane S, Koet, Benjamin

“…The so-called Sen2-Agri system automatically ingests and processes Sentinel-2 and Landsat 8 time series in a seamless way to derive these four products, thanks to streamlined processes based on machine learning algorithms and quality controlled in situ data. It embeds a set of key principles proposed to address the new challenges arising from countrywide 10m resolution agriculture monitoring. …”
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UAV Flight Orientation and Height Influence on Tree Crown Segmentation in Agroforestry Systems by Baselly Villanueva, Juan Rodrigo, Fernández Sandoval, Andrés, Pinedo Freyre, Sergio Fernando, Salazar Hinostroza, Evelin Judith, Cárdenas Rengifo, Gloria Patricia, Puerta, Ronald, Huanca Diaz, José Ricardo, Tuesta Cometivos, Gino Anthony, Vallejos Torres, Geomar, Goycochea Casas, Gianmarco, Álvarez Álvarez, Pedro, Ismail, Zool Hilmi

“…These traits were associated with the detection and confusion patterns observed across the models, highlighting the importance of crown architecture in automated segmentation and the potential of UAVs combined with YOLO algorithms for the efficient monitoring of tropical agroforestry systems.…”
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MicroRNA analysis of Taenia crassiceps cysticerci under praziquantel treatment and genome-wide identification of Taenia solium miRNAs by Pérez, Matías, Macchiaroli, Natalia, Lichtenstein, Gabriel, Conti, Gabriela, Asurmendi, Sebastian, Milone, Diego Humberto, Stegmayer, Georgina, Kamenetzky, Laura, Cucher, Marcela, Rosenzvit, Mara Cecilia

“…Using small RNA-seq and two independent algorithms for miRNA prediction, as well as northern blot validation, we found transcriptional evidence of 39 miRNA loci in T. crassiceps. …”
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Comprehensive Analysis of the Influence of Technical and Biological Variations on De Novo Assembly of RNA-Seq Datasets by Gonzalez, Sergio Alberto, Rivarola, Maximo Lisandro, Ribone, Andrés Ignacio, Lew, Sergio Eduardo, Paniego, Norma Beatriz

“…De novo assembly of transcriptomes from species without reference genome remains a common problem in functional genomics. While methods and algorithms for transcriptome assembly are continually being developed and published, the quality of de novo assemblies using short reads depends on the complexity of the transcriptome and is limited by several types of errors. …”
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Genome-wide identification of microRNA targets in the neglected disease pathogens of the genus Echinococcus by Macchiaroli, Natalia, Maldonado, Lucas, Zarowiecki, Magdalena, Cucher, Marcela Alejandra, Gismondi, Maria Ines, Kamenetzky, Laura, Rosenzvit, Mara Cecilia

“…Since target prediction algorithms rely on complementarity between 3′UTRs and miRNA sequences, a major limitation is the lack of accurate sequence information of 3′UTR for most species including parasitic helminths. …”
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Estimating spatially distributed SOC sequestration potentials of sustainable land management practices in Ethiopia by Abera, Wuletawu, Tamene, Lulseged D., Abegaz, Assefa, Hailu, Habtamu, Piikki, Kristin, Soderstrom, Mats, Girvetz, Evan Hartunian, Sommer, Rolf

“…We assessed the impact of SLM practices, specifically bunds, terraces, biological and various forms of tillage practices on SOC using partial dependency algorithms of prediction models. No tillage (NT) increased SOC in all watersheds. …”
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Harnessing data science to improve integrated management of invasive pest species across Africa: an application to Fall armyworm (Spodoptera frugiperda) (J.E. Smith) (Lepidoptera:... by Guimapi, R.A., Niassy, S., Mudereri, B.T., Abdel-Rahman, E.M., Tepa-Yotto, G., Subramanian, S., Mohamed, S.A., Thunes, K.H., Kimathi, E.K., Agboka, K., Tamò, Manuele, Rwaburindi, J.C., Hadi, B., Elkahky, M., Saethre, M.G., Belayneh, Y.T., Ekesi, S., Kelemu, S., Tonnang, Henri E.Z.

“…This study applied interdisciplinary tools, analytics, and algorithms on a FAW dataset with a spatial lens to provide insights and project the intensity of FAW infestation across Africa. …”
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Predicting starch content in cassava fresh roots using near-infrared spectroscopy by Mbanjo, E., Hershberger, J.M., Peteti, P., Agbona, A., Ikpan, A., Ogunpaimo, K., Kayondo, S.I., Abioye, R.S., Nafiu, K., Alamu, Emmanuel Oladeji, Adesokan, Michael, Maziya-Dixon, Busie, Parkes, Elizabeth Y., Kulakow, Peter A., Gore, M.A., Egesi, Chiedozie N., Rabbi, I.Y.

“…The 11 trials were aggregated to capture more variability, and the performance of the combined data was evaluated using two additional algorithms, random forest (RF) and support vector machine (SVM). …”
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MusaDeepMosaic: Development of a machine learning genomic mosaic classifier tool. by Vicens, Romain, Cenci, Alberto, Guillaume, Martin, Sardos, Julie, Rouard, Mathieu, Breton, Catherine

“…Bitmap images can be processed by machine learning algorithms [1] or other automated tools, enabling faster and more accurate analysis of genomic data. …”
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Fully phased population-prevalent East African cattle BoLA-I alleles determined using PacBio HiFi long-read sequencing represent five novel specificities with distinctive peptide b... by Obara, I., Sandro, A., Elati, K., Conneley, T., Nielsen, M., Githaka, Naftaly W., Nanteza, A., Bishop, Richard P., Nijhof, A.

“…We have leveraged recent improvements in the accuracy of PacBio high-fidelity (HiFi) circular consensus sequencing (CCS) and adapted stringent sequence filtering algorithms to identify hundreds of as yet uncharacterised fully phased BoLA-I alleles from multiple populations of African taurine (Ankole) and indicine (Zebu) cattle in East Africa. …”
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Evaluating a hybrid soil temperature model in a corn-soybean agroecosystem and a tallgrass prairie in the Great plains by Song, Feng, Salvagiotti, Fernando, Schmer, M.R., Wingeyer, Ana Beatriz, Weiss, Albert

“…Frequently these soil temperatures are simulated, and the soil temperature algorithms cannot be more complicated than the original process model. …”
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Actualización del algoritmo de estimación de la evapotranspiración real para el sensor VIIRS-Suomi NPP by Di Bella, Carlos Marcelo, Oricchio, Patricio, Gusmerotti, Lucas Alberto, Texeira González, Marcos Alexis

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Coupling remote sensing and eDNA to monitor environmental impact: A pilot to quantify the environmental benefits of sustainable agriculture in the Brazilian Amazon by Dyson, Karen, Nicolau, Andréa P., Tenneson, Karis, Francesconi, Wendy, Daniels, Amy, Andrich, Giulia, Caldas, Bernardo, Castaño, Silvia, de Campos, Nathanael, Dilger, John, Guidotti, Vinicius, Jaques, Iara, McCullough, Ian M., McDevitt, Allan D., Molina, Luis, Nekorchuk, Dawn M., Newberry, Tom, Lima Pereira, Cristiano, Perez, Jorge, Richards-Dimitrie, Teal, Rivera, Ovidio, Rodriguez, Beatriz, Sales, Naiara, Tello, Jhon, Wespestad, Crystal, Zutta, Brian, Saah, David

“…We used the Continuous Degradation Detection (CODED) and LandTrendr algorithms to create a remote sensing-based assessment of forest disturbance and regeneration, estimate carbon sequestration, and changes in essential habitats. …”
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Climate change expected to improve digestive rate and trigger range expansion in outbreaking locusts by Youngblood, Jacob P., Cease, Arianne J., Talal, Stav, Medina, Héctor e., Rojas, Julio E., Trumper, Eduardo Victor, Angilletta Jr, Michael J., Harrison, Jon F., Copa Bazán, Fernando

“…We then created hybrid models by using outputs of the mechanistic model as predictor variables in correlative models, estimating the potential distribution of gregarious outbreaking locusts based on multiple predictor sets, modeling algorithms, and climate scenarios. Based on the mechanistic model, locusts can assimilate relatively high amounts of energy throughout temperate and tropical South America; however, correlative and hybrid modeling revealed that most tropical areas are unsuitable for locusts. …”
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Graph theory in veterinary epidemiology : modelling an outbreak of classical swine fever by Widgren, Stefan

“…By using graph theory algorithms on data from the Swedish surveillance network system (Grisregistret) and combining this with the power of graph layout engines for visualization of interherd movements, valuable information can rapidly be provided from data that is easily available. …”