Yield Prediction in Wheat (<i>Triticum aestivum</i> L.) using Spectral Reflectance Indices
نویسندگان
چکیده
منابع مشابه
Wheat yield prediction through agrometeorological indices for Hamedan, Iran
Yield prediction before harvesting is one of the tools in order to planning food production supply in future.Yield prediction was carried out for Wheat(Triticum aestivum) using different meteorological variables with agrometeorological indices in Hamedan district during 2003-04 and 2004-05. According to correlation coefficients, standard error of estimate as well as relative deviation of predic...
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Crop agronomic parameters (leaf area index (LAI), nitrogen (N) uptake, total chlorophyll (Chl) content ) are very important for the prediction of crop growth. The objective of this experiment was to investigate whether the wheat LAI, N uptake, and total Chl content could be accurately predicted using spectral indices collected at different stages of wheat growth. Firstly, the product of the opt...
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متن کاملwheat yield prediction through agrometeorological indices for hamedan, iran
yield prediction before harvesting is one of the tools in order to planning food production supply in future.yield prediction was carried out for wheat(triticum aestivum) using different meteorological variables with agrometeorological indices in hamedan district during 2003-04 and 2004-05. according to correlation coefficients, standard error of estimate as well as relative deviation of predic...
متن کاملDiscriminating Biomass and Nitrogen Status in Wheat Crop by Spectral Reflectance Using Artificial Neural Networks
Precision Agriculture has the goal of reducing cost which is difficult when it is related to fertilizers application. Nitrogen (N) is the nutrient absorbed in greater amounts by crops and the N fertilizers application present significant costs. The use of spectral reflectance sensors has been studied to identify the nutritional status of crops and prescribe varying N rates. This study aimed to ...
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ژورنال
عنوان ژورنال: Current Science
سال: 2019
ISSN: 0011-3891
DOI: 10.18520/cs/v116/i2/272-278