粮食作物产量预测是一个非常复杂的知识推理过程。
Foodstuff yield prediction is a very complicated reasoning process.
联合国开发计划署官员说他们提供的最复杂的设备是作物产量预测设备。
UNDP officials say the most sophisticated thing they provided was crop-forecasting equipment.
作物产量预测是农业科学研究的一个重要内容，是农业决策的重要依据，不少学者进行了大量研究并建立了许多预测模型。
Crop yield forecasting is an important field of agricultural scientific research and provides an important base for agricultural decision. Many forecasting models have been put forward and set up.
介绍了农作物产量综合预测的建模思路以及建模各阶段的主要算法。包含农作物产量预测的趋势因子和趋势产量的分离；
This paper introduces the major mathematic models of synthetic prediction of crop yield, including separation of trend factor and trend yield, simulation of trend yield;
将遥感信息与作物生长模式结合来预测作物产量，是目前的一个热点研究课题。
Coupling remote sensing data with crop growth models to predict crop yield is a hot research topic.
建立有效的模型对臭氧造成的作物产量损失进行评估和预测，能为中国臭氧污染的控制和农业安全提供科学依据。
To build effectual simulation models to evaluate and predict the crop loss by O3 would help to the ozone pollution control and agriculture safety.
温度变化、水资源短缺以及生长期缩短10- 25%诸因素都将影响农作物产量，由于主要地区都会降温，未来产量更难预测。
Crop yields, affected by temperature and water stress as well as length of growing season fall by 10-25% and are less predictable as key regions shift from a warming to a cooling trend.
温度变化、水资源短缺以及生长期缩短10- 25%诸因素都将影响农作物产量，由于主要地区都会降温，未来产量更难预测。
Crop yields, affected by temperature and water stress as well as length of growing season fall by 10-25% and are less predictable as key regions shift from a warming to a cooling trend.
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