Supply chain risk management is a large and growing field of research. However, within this
field, mathematical models for agricultural products have received relatively little attention …

Rice–wheat (RW) systems are critical to food security and livelihoods of rural and urban
poor in south Asia and China, and to regional economies in southeast Australia. The …

In recent years, maize has become one of the main alternative crops for the Autumn–Winter
growing season (off-season) in several regions of Brazil. Water deficits, sub-optimum …

The supply chain in the food and agribusiness sector is characterized by long supply lead
times combined with significant supply and demand uncertainties, and relatively thin …

Corn (Zea mays L.) production in northeastern Colorado is constrained by a frost‐free period
averaging 11 May to 27 September. For optimization of yield, planting at the appropriate …

For rice (Oryza sativa L.), simulation models like ORYZA2000 and CERES-Rice have been
used to explore adaptation options to climate change and weather-related stresses (drought …

Crop simulation models have been used widely to describe systems and processes at the
level of the genotype, the crop, the farming system, the region, and the global environment …

Indo-Gangetic Plains (IGP), accountable for the region's food security, has undergone
climatic fluctuations and variability during the last three decades under the influence of …

Crop models have many current and potential uses for improving research understanding,
crop management decisions, policy planning and implementations and adapting to current …

Crop simulation models (CSM) were built to simulate the crop response to environment and
soil on plot levels and were gradually applied for simulating regional behaviours of crop …