Resultados de búsqueda - Computer systems

Unlocking the Potential of AI in Agricultural Research: Insights from ICRISAT’s Sensitization Workshop and Survey Findings por Rupavatharam, Srikanth, Patil, Mukund, Gelaye, Kidia, Reddy, Nagarjuna, Mitnala, Sreevani, Dhungel, Rajeev, Ravula, Padmaja

“…Despite this proactive uptake, key institutional challenges remain, including inadequate data readiness, limited access to high-performance compute resources, and critical concerns around data privacy, bias, and authorship accountability. …”
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DREAMpy por International Food Policy Research Institute

“…DREAMpy was developed in collaboration with Vitamin Software, as a component of BIORAPP, a project led by IFPRI’s Program for Biosafety Systems (PBS). BioRAPP was funded by the Bill and Melinda Gates Foundation and the U.S. …”
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A simple model for predicting agronomy floods in rice fields in Bicol, Philippines por Wei, Xiaojing, Balanza Girly, Jane, Raviz, Jeny, Castillo, Rowena, Baradas, Airene, Laborte, Alice

“…Flood forecasting and early warning systems can aid in mitigating these risks; however, the insufficient coverage of hydrometric monitoring stations and limited computational resources can be barriers for developing countries. …”
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BioMoby extensions to the Taverna workflow management and enactment software por Kawas, Edward, Senger, Martin, Wilkinson, Mark D.

“…As biology becomes an increasingly computational science, it is critical that we develop software tools that support not only bioinformaticians, but also bench biologists in their exploration of the vast and complex data-sets that continue to build from international genomic, proteomic, and systems-biology projects. …”
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Analyses of genetic diversity in Cuban rice varieties using isozyme, RAPD and AFLP markers por Fuentes, J.L, Escobar, F., Álvarez, A., Gallego Sánchez, Gerardo J., Duque E., Myriam Cristina, Ferrer, M, Deus, J.E., Tohme, Joseph M.

“…Polymorphisms were detected for esterases, peroxidases, alcohol dehydrogenases and polyphenoloxidases systems; 21 RAPD primers and four AFLP primer combinations. …”
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Evaluación de modelos de aprendizaje automático para la predicción de Boro en suelos Andisoles de Nariño-Colombia por Álvarez Sánchez, David, López Estrella, Xilena, Manso Ordoñez, Eduar, López Rivera, Laura, Rodriguez Valenzuela, Jeison

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Modeling Avena fatua seedling emergence dynamics: an artificial neural network approach por Chantre Balacca, Guillermo Ruben, Blanco, Anibal Manuel, Lodovichi, Mariela Victoria, Bandoni, Jose Alberto, Sabbatini, Mario Ricardo, Lopez, Ricardo Luis, Vigna, Mario Raul, Gigon, Ramon

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Applying FAIR Principles to plant phenotypic data management in GnpIS por Pommier, C., Michotey, Célia, Cornut, Guillaume, Roumet, P., Duchêne, E., Flores, R., Lebreton, A., Alaux, M., Durand, S., Kimmel, E., Letellier, T., Merceron, G., Laine, M., Guerche, C., Loaec, M., Steinbach, D., Laporte, Marie-Angélique, Arnaud, Elizabeth, Quesneville, H., Adam-Blondon, Anne-Françoise

“…GnpIS can therefore contribute to emerging international federations of information systems.…”
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Urban flash flood hazard mapping using machine learning, Bahir Dar, Ethiopia por Leggesse, E. S., Derseh, W. A., Zimale, F. A., Tilahun, Seifu A., Meshesha, M. A.

“…However, conventional hydrodynamic approaches are hindered by their extensive data requirements and computational expenses. As an alternative solution, this paper explores the use of machine learning (ML) techniques to map flood hazards based on readily available geo-environmental variables. …”
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Changing rainfall patterns and farmers ’ adaptation through soil water management practices in semi- arid eastern Kenya por Recha, John W.M., Mati, Bancy M., Nyasimi, Mary, Kimeli, Philip, Kinyangi, James, Radeny, Maren A.O.

“…A total of forty-three smallholder farmers implementing soil water management practices were sampled, and an estimate of the seasonal water budget for current crop and livestock production systems computed. Analysis of rainfall amounts and distribution shows increasing variability, with the average annual total amounts decreasing over the past 50 years. …”
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Improving the accuracy of genomic predictions in small holder crossed- bred dairy cattle por Mrode, Raphael A., Ojango, Julie M.K., Gibson, John P., Okeyo Mwai, Ally

“…The impact of utilizing the genomic relationship matrix (G) computed based on breedwise allele frequencies or different scaling factors on the accuracy of genomic prediction in cross-bred dairy cattle in smallholder systems was investigated. …”
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An improved simulation model to predict pre-harvest aflatoxin risk in maize por Chauhan, Y., Tatnell, J., Krosch, S., Karanja, J., Gnonlonfin, G.J.B., Wanjuki, I., Wainaina, J., Harvey, Jagger J.W.

“…In this study we describe an aflatoxin risk prediction model which is integrated with the Agricultural Production Systems Simulator (APSIM) modelling framework. The model computes a temperature function for A. flavus growth and aflatoxin production using a set of three cardinal temperatures determined in the laboratory using culture medium and intact grains. …”
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Introducing charging infrastructure for electric cars por Souckova, Ivana

“…Geographical Information Systems (GIS) are used to identify suitable placements for standard, accelerated and fast charging stations. …”
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A simple algorithm outperforms a machine learning approach for quantifying spittlebug damage in tropical grasses por Ruiz-Hurtado, Andres Felipe, Espitia, Paula, Cardoso, Juan Andres, Jauregui, Rosa Noemi

“…In the extensive livestock systems of tropical America, host-plant resistance has proven to be the most efficient strategy for integrated pest management in forage grasses (i.e., Urochloa hybrids and Megathyrsus maximus) to spittlebug (Hemiptera: Cercopidae) attack. …”
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Cell size regulation and proliferation fluctuations in single-cell derived colonies por Nieto, César, Vargas García, César, Pedraza, Juan Manuel, Singh, Abhyudai

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Determinación de la madurez de mazorcas de Cacao, haciendo uso de redes neuronales convolucionales en un sistema embebido por Heredia Gómez, Juan F., Rueda Gómez, Juan P., Talero Sarmiento, Leonardo H., Ramírez Acuña, Juan S., Coronado Silva, Roberto Antonio

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Remote Sensing and Climate Data for Targeting Landscape Restoration in Africa por Tamene, Lulseged D., Le, Quang Bao, Sileshi, Gudeta W., Aynekulu, Ermias, Kizito, Fred, Bossio, Deborah A., Vlek, Paul L.G.

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Methods for the quantification of emissions at the landscape level for developing countries in smallholder contexts por Milne, E, Neufeldt, Henry, Smalligan, M, Rosenstock, Todd S., Bernoux, Martial, Bird, N., Casarim, F, Denef, K, Easter, M., Malin, Daniella, Ogle, Stephen Michael, Ostwald, M, Paustian, Keith, Pearson, T, Steglich, E

“…Much of the agricultural mitigation potential lies in developing countries where systems are dominated by smallholder farmers. There is therefore an opportunity for smallholders not only to gain environmental benefits from carbon friendly practices, but also to receive much needed financial input, either directly from carbon financing, or from development agencies looking to support carbon friendly activities. …”
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Design of a Soil-based Climate-Smartness Index (SCSI) using the trend and variability of yields and soil organic carbon por Arenas Calle, Laura N., Ramírez Villegas, Julián Armando, Whitfield, Stephen, Challinor, Andrew J.

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Cassava Production Efficiency in Southern Ethiopia: The Parametric Model Analysis por Tafesse, Alula, Mena, Bekele, Belay, Abrham, Aynekulu, Ermias, Recha, John W.M., Osano, Philip M., Darr, Dietrich, Demissie, Teferi Dejene, Endalamaw, Tefera B., Solomon, Dawit

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