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

S. Bazgeer; R.K. Mahey; S.S. Sidhu; P.K. Sharma; A. Sood; A.M. Noorian; Gh. Kamali

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

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

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Estimation of crop production in advance of the harvest has been an intensively researched field in agriculture. The aim of present study was to predict wheat yield using different agrometeorological indices, spectral index (NDVI, Normalized Difference Ve

机译：在收获之前估算作物产量已成为农业研究的热点。本研究的目的是使用不同的农业气象指数，光谱指数（NDVI，归一化差异Ve

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《Journal of Applied Sciences》 |2008年第3期|共6页
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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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中图分类农业科学;
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1. 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
2. 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
3. Analysis of meteorological variations on wheat yield and its estimation using remotely sensed data. A case study of selected district of Punjab Province, Pakistan (2001-14) [J] . Rafia Mumtaz, Shahbaz Baig, Iram Fatima Italian Journal of Agronomy . 2017,第4期

机译：小麦单产的气象变化分析及其利用遥感数据的估算。巴基斯坦旁遮普省部分地区的案例研究（2001-14）
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. Wheat Yield Prediction Using Remotely Sensed Agromet Trend-Based Models for Hoshiarpur District of Punjab, India [O] . S. Bazgeer, R.K. Mahey, S.S. Sidhu, 2008

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

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

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