Resultados de búsqueda - "FORECASTING"

Seasonal seed scenario planning: co-design of a generic framework for matching seed supply and demand using seasonal climate forecasts por Steinke, Jonathan, Ortíz Crespo, Berta, Etten, Jacob van, Borman, Gareth Denis, Hassena, Mohammed, Kretschmer, Marlene, MacLeod, David A., Muungani, Dean

Materias: “…forecasting…”
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Development of population-specific prediction equations for bioelectrical impedance analyses in Vietnamese children por Nguyen, Phuong Hong, Young, Melissa F., Khuong, Long, Ramakrishnan, Usha, Martorell, Reynaldo, Hoffman, Daniel J.

Materias: “…forecasting…”
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Multivariate random forest prediction of poverty and malnutrition prevalence por Browne, Chris, Matteson, David S., McBride, Linden, Hu, Leiqiu, Liu, Yanyan, Sun, Ying, Wen, Jiaming, Barrett, Christopher B.

Materias: “…forecasting…”
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Indigenous and scientific forecasts on climate change perceptions of arable farmers: Rwenzori region, western Uganda por Nkuba, Michael Robert, Chanda, Raban, Mmopelwa, Gagoitseope, Adedoyin, Akintayo, Mangheni, Margaret Najjingo, Lesolle, David, Kato, Edward

Materias: “…forecasting…”
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Analyzing inflow to Faye reservoir sensitivity to climate change using CMIP6 and random forest algorithm por Akaffou, F. H., Obahoundje, Salomon, Didi, S. R. M., Koffi, B., Coulibaly, W. B., Habel, M., Kadjo, M. M. F., Kouassi, K. L., Diedhiou, A.

Materias: “…forecasting…”
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Policy measures for reducing vulnerability to climate extremes in agriculture: Lessons from the case of unseasonal rainfall in Haryana and Punjab, India por Khan, Md. Tajuddin, Joshi, Pramod Kumar, Kishore, Avinash, Pandey, Divya

Materias: “…weather forecasting…”
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Use of inverse modeling to evaluate CENTURY-predictions for soil carbon sequestration in US rain-fed corn production systems por Kwon, Ho Young, Ugarte, C. M., Ogle, Stephen M., Williams, Stephen A., Wander, Michelle M.

Materias: “…forecasting…”
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Evaluating the impact of agricultural projection modeling using the "IMPACT" framework por Ryan, James G.

Materias: “…forecasting…”
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2020 News & Views, July 1996: Food insecurity lies at the root of violent conflict (Featured article) por International Food Policy Research Institute

Materias: “…forecasting…”
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World food prospects: critical issues for the early twenty-first century por Pinstrup-Andersen, Per, Pandya-Lorch, Rajul, Rosegrant, Mark W.

Materias: “…forecasting…”
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World food prospects: critical issues for the early twenty-first century por Pinstrup-Andersen, Per, Pandya-Lorch, Rajul, Rosegrant, Mark W.

Materias: “…forecasting…”
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Decline in rice grain yields with temperature: Models and correlations can give different estimates por Sheehy, John E., Mitchell, P.L., Ferrer, Anaida B.

Materias: “…yield forecasting…”
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Threshold-based flood early warning in an urbanizing catchment through multi-source data integration: satellite and citizen science contribution por Tedla, H. Z., Bekele, Tilaye Worku, Nigussie, Likimyelesh, Negash, E. D., Walsh, C. L., O'Donnell, G., Haile, Alemseged Tamiru

Materias: “…flood forecasting…”
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The best time to plan for drought is when it’s raining: disaster response needs to move from reactive to proactive if we are going to adapt to climate change por McDonnell, Rachael

Materias: “…forecasting…”
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Evaluating climate change impacts and seasonal dynamics in Senegal to predict crop yields and develop early warning signals por Panjwani, Shweta, Jampani, Mahesh, Amarnath, Giriraj, Sambou, Mame Henriette Astou

Materias: “…yield forecasting…”
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CGIAR’s AWARE platform: promoting early warning of and effective response to climate hazards por Amarnath, Giriraj

Materias: “…forecasting…”
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Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software por Crossa, José, Martini, Johannes W.R., Vitale, Paolo, Perez-Rodriguez, Paulino, Costa-Neto, Germano, Fritsche-Neto, Roberto, Runcie, Daniel E., Cuevas, Jaime, Toledo, Fernando H., Huihui Li, De Vita, Pasquale, Gerard, Guillermo S., Dreisigacker, Susanne, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Bentley, Alison R., Lillemo, Morten, Ortiz, Rodomiro, Montesinos-Lopez, Osval A., Montesinos-López, Abelardo

Materias: “…forecasting…”
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Change point-driven interrupted time series and machine learning models for forecasting Indian food grain production por Chitikela, Gayathri, Rathod, Santosha, Vijayakumar, S.

Materias: “…forecasting…”
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What do we know about the future of rice in relation to food systems? por Valera, Harold Glenn, Pede, Valerien Olivier, Antonio, Ronald Jeremy

Materias: “…forecasting…”
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Early warning AI agent for pest, disease, and weed in Viet Nam por Kim, Soonho, Liu, Yanyan

Materias: “…forecasting…”
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