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Determining optimal cotton harvest-aid application timing based upon remotely sensed crop data

机译：基于远程感测作物数据确定最佳棉收收缩应用定时

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作者
Sanders, Jason Cole.;
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作者单位

Mississippi State University.;

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授予单位 Mississippi State University.;
学科
学位 Ph.D.
年度 2003
页码 225 p.
总页数 225
原文格式 PDF
正文语种 eng
中图分类 AAI3106940;
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入库时间 2022-08-17 12:02:17

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1. COTTON IRRIGATION SCHEDULING USING REMOTELY SENSED AND FAO-56 BASAL CROP COEFFICIENTS [J] . Transactions of the ASABE . 2005,第4期

机译：使用遥感和FAO-56基础作物系数进行棉花灌溉计划
2. COTTON IRRIGATION SCHEDULING USING REMOTELY SENSED AND FAO-56 BASAL CROP COEFFICIENTS [J] . D. J. Hunsaker, E. M. Barnes, T. R. Clarke, Transactions of the ASABE . 2005,第4期

机译：使用遥感和FAO-56基础作物系数进行棉花灌溉计划
3. Impact of residual soil nitrate on in-season nitrogen applications to irrigated corn based on remotely sensed assessments of crop nitrogen status. [J] . Bausch W C, Delgado J A Precision Agriculture . 2005,第6期

机译：根据遥感对作物氮素状况的评估，残余土壤硝酸盐对灌溉玉米季节性施氮的影响。
4. DETERMINING OPTIMAL TIMING OF SITE-SPECIFIC APPLICATIONS OF COTTON HARVEST AIDMATERIALS USING REMOTELY SENSED IMAGERY AND THE COTMAN PLANT MONITORING SYSTEM [C] . A. McFall, T.G. Teague, S. Coy, Beltwide Cotton Conference . 2004

机译：使用远程感测图像和蝉植物监测系统确定棉花收获援助材料的场地特异性应用的最佳定时
5. Neural network-based crop growth model to predict processing tomato yield on a site-specific basis using remotely sensed data. [D] . Koller, Michal. 2003

机译：基于神经网络的作物生长模型可使用遥感数据在特定地点预测番茄的加工产量。
6. Generating land cover boundaries from remotely sensed data using object-based image analysis: overview and epidemiological application [O] . Susan K. Maxwell -1

机译：使用基于对象的图像分析从远程感测数据生成陆地覆盖边界：概述和流行病学应用
7. An Optimal Sample Data Usage Strategy to Minimize Overfitting and Underfitting Effects in Regression Tree Models Based on Remotely-Sensed Data [O] . Yingxin Gu, Bruce K. Wylie, Stephen P. Boyte, 2016

机译：基于遥感数据的回归树模型中过拟合和欠拟合效应的最优样本数据使用策略
8. Crop Area Estimation Based on Remotely-Sensed Data with an Accurate But Costly Subsample [R] . Gunst, R. F. 1985

机译：基于遥感数据和准确但成本较低的子样本的作物面积估计

Determining optimal cotton harvest-aid application timing based upon remotely sensed crop data

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