Standardization of crop yield estimation methods at various levels of farming helps to obtain
accurate agricultural statistics as well as assessing the suitability of agricultural practices …

Climate change and variability are major threats to crop productivity. Crop models are being
used worldwide for decision support system for crop management under changing climatic …

Crop simulation models are used at the field scale to estimate crop yield potential, optimize
current management, and benchmark input-use efficiency. At issue is the ability of crop …

Croplands are important in land‐atmosphere interactions and in the modification of local
and regional weather and climate; however, they are poorly represented in the current …

High-resolution soil moisture/temperature (SM/ST) are critical components of the growing
demand for fine-scale products over the Indian monsoon region (IMR) which has diverse …

Carbon dioxide release from agricultural soils is influenced by multiple factors, including soil
(soil properties, soil-microbial respiration, water content, temperature, soil diffusivity), plant …

Hybrid-Maize model was evaluated for its performance for simulating maize growth, grain
yield, soil water content (SWC) and crop evapotranspiration (ET c) under full irrigation …

Narrowing the Agronomic Yield Gaps of Maize by Improved Soil, Cultivar, and Agricultural
Management Practices in Different Climate Zones of Northeast China in: Earth Interactions …

Determination of the optimum sowing window not only can improve maize yield significantly
but also can fit maize in the existing cropping pattern. To get the advantages of sowing …

With a long‐term goal to optimize use of groundwater in the Ogallala Aquifer Region (OAR)
to sustain food production systems, this study was conducted to calibrate Decision Support …