Agriculture of the inland arid region in Xinjiang depends on irrigation, which forms oasis of Northwest China. The production and water use of wheat, a dominant crop there, is significantly affected by undergoing climate variability and change. The objective of this study is to quantify inter-annual variability of wheat yield and water use from 1955 to 2006. The farming systems model APSIM (Agr...

The objective of this paper is to provide an overview of the HybridMaize software (www.hybridmaize.unl.edu, verified 28 Feb. 2006), with emphasis on its practical applications based on our own experience and feedback from users. The Hybrid-Maize model is a computer program that simulates the growth and yield of a corn crop (Zea mays L.) under nonlimiting or water-limited (rainfed or irrigated) ...

by application of climatic zoning methods, it is possible to study different agricultural aspects and then with harmony this aspects, determined similar states in a zone. today, simulation models are widely used around the world in agricultural research and education and cropland management. due to the vast extent of the agricultural activities in iran, application of such models seems to be qu...

the need for more comparisons among models is widely recognized. this study aimed to compare three different modelling approaches for their capability to simulate and predict trends and patterns of winter wheat yield in western germany. the three modelling approaches included an empirical model, a process-based model (lintul2), and a metamodel derived from the process-based model. the models ou...

Nitrogen (N) uptake (kg ha-1) of field-grown potatoes was measured in 4.32 m2 lysimeters that were filled with coarse sand, loamy sand, and sandy loam and subjected to full (FI), deficit (DI), and partial root-zone drying (PRD) irrigation strategies. PRD and DI as water-saving irrigation treatments received 65% of FI after tuber bulking and lasted for six weeks until final harvest. Results show...

Objective: To propose Multi-parametric Deep Neural Network (MDNN) for modeling the impact of climate changes, multiple parameters related to weather and soil accurate crop yield prediction. Methods: In MDNN, a measure called Growing-Degree Day (GDD) is introduced measuring overall effect conditions yield. One key elements in MDNN neuron’s layer-wise activation function. order enhance predictive...

most areas of the world where rainfall is limiting are characterized by low agricultural output and, ironically, high population growth rates that generate increased food de-mand. arid and semi-arid regions permit a range of vegetative biomass production, from rainfed crops to native pasture, and sparse steppe shrubs to true desert. given the harsh climatic conditions in areas such as west asia...