Search Results - "Forecasting"

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

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Development of population-specific prediction equations for bioelectrical impedance analyses in Vietnamese children by Nguyen, Phuong Hong, Young, Melissa F., Khuong, Long, Ramakrishnan, Usha, Martorell, Reynaldo, Hoffman, Daniel J.

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Multivariate random forest prediction of poverty and malnutrition prevalence by Browne, Chris, Matteson, David S., McBride, Linden, Hu, Leiqiu, Liu, Yanyan, Sun, Ying, Wen, Jiaming, Barrett, Christopher B.

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

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Analyzing inflow to Faye reservoir sensitivity to climate change using CMIP6 and random forest algorithm by 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.

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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 by Khan, Md. Tajuddin, Joshi, Pramod Kumar, Kishore, Avinash, Pandey, Divya

Subjects: “…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 by Kwon, Ho Young, Ugarte, C. M., Ogle, Stephen M., Williams, Stephen A., Wander, Michelle M.

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Evaluating the impact of agricultural projection modeling using the "IMPACT" framework by Ryan, James G.

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2020 News & Views, July 1996: Food insecurity lies at the root of violent conflict (Featured article) by International Food Policy Research Institute

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World food prospects: critical issues for the early twenty-first century by Pinstrup-Andersen, Per, Pandya-Lorch, Rajul, Rosegrant, Mark W.

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World food prospects: critical issues for the early twenty-first century by Pinstrup-Andersen, Per, Pandya-Lorch, Rajul, Rosegrant, Mark W.

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Decline in rice grain yields with temperature: Models and correlations can give different estimates by Sheehy, John E., Mitchell, P.L., Ferrer, Anaida B.

Subjects: “…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 by Tedla, H. Z., Bekele, Tilaye Worku, Nigussie, Likimyelesh, Negash, E. D., Walsh, C. L., O'Donnell, G., Haile, Alemseged Tamiru

Subjects: “…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 by McDonnell, Rachael

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Evaluating climate change impacts and seasonal dynamics in Senegal to predict crop yields and develop early warning signals by Panjwani, Shweta, Jampani, Mahesh, Amarnath, Giriraj, Sambou, Mame Henriette Astou

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

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Expanding genomic prediction in plant breeding: harnessing big data, machine learning, and advanced software by 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

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Change point-driven interrupted time series and machine learning models for forecasting Indian food grain production by Chitikela, Gayathri, Rathod, Santosha, Vijayakumar, S.

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What do we know about the future of rice in relation to food systems? by Valera, Harold Glenn, Pede, Valerien Olivier, Antonio, Ronald Jeremy

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Early warning AI agent for pest, disease, and weed in Viet Nam by Kim, Soonho, Liu, Yanyan

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