A STUDY OF ENVIRONMENTAL FACTORS AFFECTING THE GROWTH AND PRODUCTION OF BARLEY PLANT BY USING ARTIFICIAL NEURAL NETWORK TECHNOLOGY

DSSAT PROGRAM AND PREDICTION OF WHEAT PRODUCTIVITY UNDER RAINFED AND SUPPLEMENTARY IRRIGATION CONDITIONS

USING TREND ANALYSIS MODELS TO IMPROVE EFFICIENCY OF WHEAT Triticum aestivum L. VARIETY TRIALS.

Predicting Soil Productivity Resulted from Organic Matter Addition by Using Neural Networks

PREDICTING TOMATO CROP PRODUCTION

Using the artificial neural networks for prediction and validating solar radiation

USING OF MULTIVARIATE ANALYSIS FOR EVALUATING WHEAT GRAIN YIELD AND ITS COMPONENTS UNDER WATER STRESS CONDITIONS

Yield Gap Associated with Crop Management in Wheat (Case Study: Ardabil Province-Parsabad Moghan)

THE POTENTIAL OF REMOTELY SENSED DATA TO PREDICT WHEAT YIELD UNDER MOISTURE AND NITROGEN DEFICIENCY STRESS

FORECASTING FOR THE AREA, AVERAGE YIELD AND PRODUCTION OF WHEAT CROP IN EGYPT AND BENI-SWEF GOVERNORATE USING ARIMA MODELS