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...

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...

The long term archiving of both Landsat imagery and wheat yield mapping datasets sensed by precision agriculture technology has the potential through the development of statistical relationships to predict high resolution estimates of wheat yield over large areas for multiple seasons. Quantifying past yield performance over different growing seasons can inform agricultural management decisions ...

Agricultural sector area plays major role in Indian economy. This paper shows research comparison in between MLP Feed Forward Neural Network, Generalized Regression Neural Network and Radial-Basis Function Neural Network in the field of Wheat yield prediction using Z-score Normalization method. The outcome represents that GRNN present better prediction results as compared to FFNN and RBNN. Eigh...

Wheat ( L.) cultivars must possess suitable end-use quality for release and consumer acceptability. However, breeding for quality traits is often considered a secondary target relative to yield largely because of amount of seed needed and expense. Without testing and selection, many undesirable materials are advanced, expending additional resources. Here, we develop and validate whole-genome pr...

khorasan province is one of the most important provinces of iran, especially as regards agricultural products. the prediction of crop yield with available data has important effects on socio-economic and political decisions at the regional scale. this study shows the ability of artificial neural network (ann) technology and adaptive neuro-fuzzy inference systems (anfis) for the prediction o...

Wheat is one of the most grown crops in the world. The yield of the wheat can be reduced by fungal infections, like the powdery mildew. The prediction of infestations, that can endanger the yield, is of corresponding importance. This report presents an approach to predict such infestation events in a spatial and temporal dimension, considering hourly weather and longtime climate data. Furthermo...

  Crop yields are dependent on a number of factors such as soil type, weather conditions and farming practices. Crop yield estimates in different soil types are required to meet the needs of farmers, land appraisers, and governmental agencies in Iran as around the world. This study was conducted to model the wheat-grain yields [Triticum aestivum L.]  by soil properties in Khoy area, the north-w...

The CERES-Wheat model was applied to simulate yields from 2005 to 2007 at Xiaotangshan of northern Beijing. Experiment datum required by CERESWheat model were all collected and checked. In addition, 1974-2004 climate records were taken and calculated as predictive weather scenario used for yield forecasting. The model calibration adopted simulation results of 2005 and which of the other two yea...