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Wheat Yield Prediction Using Remotely Sensed Agromet Trend-Based Models for Hoshiarpur District of Punjab, India

机译：利用印度旁遮普邦旁遮普省Hoshiarpur区的远程感知的Agromet趋势模型的小麦产量预测

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S. Bazgeer; R.K. Mahey; S.S. Sidhu; P.K. Sharma; A. Sood; A.M. Noorian; Gh. Kamali;
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1. Wheat Yield Prediction Using Remotely Sensed Agromet Trend-Based Models for Hoshiarpur District of Punjab, India [J] . S. Bazgeer, R.K. Mahey, S.S. Sidhu, Journal of Applied Sciences . 2008,第3期

机译：基于遥感农机趋势模型的印度旁遮普邦Hoshiarpur区小麦产量预测
2. Spectral-agromet wheat yield modelling for south-western districts of Punjab [J] . SEEMA JAND, R. K. MAHEY Environment and Ecology . 2002,第2期

机译：旁遮普西南地区的光谱农业小麦产量模型
3. Forecasting wheat yield in Punjab state of India by combining crop simulation model WOFOST and remotely sensed inputs [J] . ROJALIN TRIPATHY, KARSHAN N. CHAUDHARI, JOYDEEP MUKHERJEE, Remote sensing letters . 2013,第1a3期

机译：通过结合作物模拟模型WOFOST和遥感输入来预测印度旁遮普邦的小麦单产
4. BIODIVERSITY CHARACTERIZATION AT LANDSCAPE LEVEL IN A PART OF HOSHIARPUR DISTRICT IN PUNJAB STATE USING SATELLITE REMOTE SENSING AND GIS [C] . E.M.A.S.K. Wimalathailke, Sarnam Singh Asian conference on remote sensing;ACRS 2008 . 2008

机译：基于卫星遥感和GIS的旁遮普邦霍希阿普尔州部分地区景观水平生物多样性特征
5. Genome-wide association studies of drought resistance and yield potential in wheat (Triticum aestivum L.) using agronomic and remotely sensed traits. [D] . Gizaw, Shiferaw Abate. 2015

机译：利用农艺性状和遥感性状对小麦（Triticum aestivum L.）的抗旱性和单产潜力进行全基因组关联研究。
6. Remotely Sensed Rice Yield Prediction Using Multi-Temporal NDVI Data Derived from NOAAs-AVHRR [O] . Jingfeng Huang, Xiuzhen Wang, Xinxing Li, -1

机译：使用基于NOAA的AVHRR的多时相NDVI数据进行遥感水稻产量预测
7. Analysis of meteorological variations on wheat yield and its estimation using remotely sensed data. A case study of selected districts of Punjab Province, Pakistan (2001-14) [O] . Rafia Mumtaz, Shahbaz Baig, Iram Fatima 2017

机译：利用遥感数据分析小麦产量气象变化及其估算。巴基斯坦旁遮普省选定地区的案例研究（2001-14）

Wheat Yield Prediction Using Remotely Sensed Agromet Trend-Based Models for Hoshiarpur District of Punjab, India

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