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RICE YIELD ESTIMATION THROUGH ASSIMILATING SATELLITE DATA INTO A CROP SIMUMLATION MODEL
Data assimilation remote sensing crop simulation model rice yield
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2016/12/1
Rice is globally the most important food crop, feeding approximately half of the world’s population, especially in Asia where around half of the world’s poorest people live. Thus, advanced spatiotempo...
STUDY ON ENVISAT ASAR DATA ASSIMILATION IN RICE GROWTH MODEL FOR YIELD ESTIMATION
Rice Yield Map Crop Model Radar Model Data Assimilation Optimization Algorithm Classification
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2015/12/28
In this paper, a practical scheme for assimilation of multi-temporal and multi-polarization ENVISAT ASAR data in rice crop model to map rice yield has been presented. To achieve this, rice distributio...
Cotton yield estimation in Uzbekistan integrating MODIS, Landsat ETM+ and field data
Modelling Prediction Agriculture
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2015/9/6
Estimating crop yields is critical for regions in the Aral Sea Basin, where agriculture, predominantly cotton (Gossypium hirsutum
L.) production, is the main source of income. Monitoring the spatial ...
RICE CROP MONITORING AND YIELD ESTIMATION THROUGH COSMO SKYMED AND TERRASAR-X: A SAR-BASED EXPERIENCE IN INDIA
Rice Food Security SAR
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2015/5/6
Rice is the most important cereal crop governing food security in Asia. Reliable and regular information on the area under rice production is the basis of policy decisions related to imports, export...
The Impact of Multi-Sensor Data Assimilation on Plant Parameter Retrieval and Yield Estimation for Sugar Beet
yield modelling crop growth model PROMET
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2015/5/6
Yield Maps are a basic information source for site-specific farming. For sugar beet they are not available as in-situ measurements. This gap of information can be filled with Earth Observation (EO) ...
Crop Yield Estimation Using NOAA - AVHRR Data and Meteorological Data in the Eastern Wimmera (South Eastern Australia)
Agriculture Applications Evaluation Land use Land cover Modelling Multi− spectral data, Multi− temporal Remote Sensing
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2015/2/2
Having an estimate of final yield early in the growing season can be a powerful management and economic tool for the farming community. Therefore the possibility of using temporarily high resolution r...
SEDIMENT YIELD ESTIMATION AND PRIORITIZATION OF WATERSHED USING REMOTE SENSING AND GIS
Soil Erosion USLE Sediment yield GIS Remote sensing
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2014/4/30
Soil erosion is the greatest destroyer of land resources in Indravati catchment. It carries the highest amount of sediment compared to other catchment in India. This catchment spreading an area of 41,...
基于分形理论的水稻单产计算机视觉预测技术(Per-square-meter Yield Estimation of Paddy Based on Fractal Analysis)
水稻 单产 预测 计算机视觉 分形
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2010/12/29
以武育粳3号为试验品种,用自制计算机视觉系统,拍摄成熟期水稻群体图像,应用分形理论分析水稻群体图像的分形特征,在此基础上提取了图像的差分计盒维数和多重分形曲线;并进一步分析得出水稻单位面积产量与水稻图像分形维数具有线性相关关系,最后建立水稻单位面积产量模型,模型精度为92.57%。
Effect of Plot Size on Accuracy of Yield Estimation of Rainfed Lowland Rice Genotypes with Different Plant Heights and Grown under Different Soil Fertility Conditions
Competition Plant height Plot size Rice genotypes Selection trial Yield estimation
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2009/7/29
Breeding programs for rainfed lowland rice normally use large plot sizes for accurate estimation of yield. Resource requirements are reduced and more genotypes can be tested if a small plot size can b...
BORDER EFFECTS IN TRIALS WITH OAT AND YELLOW LUPINE MIXTURES Part III. INFLUENCE OF BORDER EFFECT IN FIELD TRIALS ON ACCURACY OF YIELD ESTIMATION
border effect experiment lupine mixtures oat
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2009/4/1
The border effects of oat, yellow lupine and their mixtures were studied to determine the grain yield accuracy based on three year field trails carried out on good ray soil complex. It was found that ...