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An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty

机译：一种综合的概率模型，用于改善环境不确定性下农作物产量的季节预测

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Nathaniel K. Newlands; David S. Zamar; Louis A. Kouadio; Yinsuo Zhang; Aston Chipanshi; Andries Potgieter; Souleymane Toure; Harvey S. J. Hill;
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1. An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty [J] . Newlands Nathaniel K., Zamar David S., Kouadio Louis A., Frontiers in Environmental Science . 2014,第4期

机译：在环境不确定性下改进农作物产量季节性预报的综合概率模型
2. Evaluation of the Integrated Canadian Crop Yield Forecaster (ICCYF) model for in-season prediction of crop yield across the Canadian agricultural landscape [J] . Chipanshi Aston, Zhang Yinsuo, Kouadio Louis, Agricultural and Forest Meteorology . 2015,第Null期

机译：综合加拿大作物单产预报器（ICCYF）模型的评估，以预测整个加拿大农业景观的作物单产
3. Seasonal to interannual rainfall probabilistic forecasts for improved water supply management: Part 3 - A nonparametric probabilistic forecast model [J] . Sharma A. Journal of Hydrology . 2000,第1a4期

机译：季节性至年际降雨概率预报，以改善供水管理：第3部分-非参数概率预报模型
4. Improving regional crop yield forecasts using satellite-derived soil moisture and crop modelling [C] . A. de Wit, R. de Lange, R. Beck, International symposium on remote sensing of environment;ISRSE-33 . 2009

机译：利用卫星衍生的土壤水分和作物模型改善区域作物产量的预测
5. Introducing Agricultural Feedbacks in Noah-MP Land Surface Model for Improved Weather and Regional Crop Yield Simulations [D] . Liu, Xing. 2017

机译：介绍Noah-MP土地表面模型的农业反馈，提高天气和区域作物产量模拟
6. Agricultural Management Practices to Sustain Crop Yields and Improve Soil and Environmental Qualities [O] . Upendra M. Sainju, Wayne F. Whitehead, Bharat P. Singh 2003

机译：农业管理实践以维持作物产量并改善土壤和环境质量
7. An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty [O] . Nathaniel K. Newlands, David S. Zamar, Louis A. Kouadio, 2014

机译：一种综合的概率模型，用于改善环境不确定性下农作物产量的季节预测

An integrated, probabilistic model for improved seasonal forecasting of agricultural crop yield under environmental uncertainty

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