1.
UNDP officials say the most sophisticated thing they provided was crop-forecasting equipment.
而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。
2.
Planting Information Monitoring Criteria and Output Forecasting Methods for Crops at County Level;
县域农作物生产监测规范与产量预报方法研究
3.
Prediction of winter wheat yield based on crop biomass estimation at regional scale
基于作物生物量估计的区域冬小麦单产预测
4.
Progresses of study on pattern of crop production of Northern China Agriculture and Animal Husbandry Interlaced Zone and prediction under climate changes on spatial-temporal scales;
中国北方农牧交错带农作物产量时空格局与情景预测研究进展
5.
Coupling remote sensing data with crop growth models to predict crop yield is a hot research topic.
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。
6.
The Comparison between Two Methods of Predicting Oil Production in Polymer-Flooding Oilfields
预测聚合物驱油田产量的两种方法的对比
7.
The Application of Optimal Neutral Network Model in the Forecast of the Crop's Water Demand
优化神经网络模型在作物需水量预测中的应用
8.
Prediction of reference crop evapotranspiration with grey model in Xinjiang region
新疆地区参考作物腾发量的灰色模型预测
9.
In vitro prediction of CYP-mediated inhibitory drug and drug interaction
CYP介导的抑制性药物相互作用的体外定量预测
10.
Forecasting the Crop Water Requirement Based on Neural Network Toolbox in MATLAB
基于MATLAB神经网络工具箱的作物需水量预测
11.
STATUS ANALYSIS AND MID-LONG-TREM FORECSTING OF PER HACTARE YIELD OF MAJOR CROPS IN CHINA;
中国主要粮食作物单产变化趋势及中长期预测
12.
Design and Implementation of the Crops Yield Dynamic Meteorological Prediction Operation System
作物产量动态气象预报业务系统的设计与实现
13.
Predicting Reference Evaportranspiration Based on LS-SVM
基于最小二乘支持向量机的参考作物腾发量预测
14.
Techniques for Predicting Yield of Walnut Scions
核桃穗条产量预测预报方法初步研究
15.
Study on a LFG Production Model Based on the Organic Matter Conversion Rate of MSW;
基于有机物转化率的垃圾填埋气产量预测模型及其验证
16.
Prediction of Biomass Yield in Forestry in Heilongjiang Province Based on Gray System Theory;
基于灰色系统理论对黑龙江省林业生物质产量的预测
17.
A Positive Study of the Prediction Effect of Money Supply on Output and Price;
我国货币供应量对产出、物价预测能力的实证研究
18.
a good, bad, heavy, light, etc cropper
高产的、 低产的、 产量高的、 产量低的...作物.