Crop models need accurate simulation of the interdependent processes of crop development and leaf area production. Crop development proceeds according to genotype characteristics and environmental influences, specifically temperature and photoperiod. It can be partly described by thermal requirements for development intervals and coefficients that describe genotype adaptation. The objectives of...

The potential impacts of climate change are expected to reshape the patterns of demand and supply of water for agriculture, therefore the assessment of the impacts of climate change on agricultural water consumption will be essential. The water footprint provides a new approach to the assessment of agricultural water consumption under climate change. This paper provides an analysis of the impac...

The capacity of US agriculture to increase the output of specific foods to accommodate increased demand is not well documented. This research uses geospatial modeling to examine the capacity of the US agricultural landbase to increase the per capita availability of an example set of nutrient-dense fruits and vegetables. These fruits and vegetables were selected based on nutrient content and an ...

This paper shows how agricultural productivity shocks can generate large industrial output fluctuations in poor countries, using a static general-equilibrium model with Stone-Geary preferences. A negative shock to agricultural productivity increases food prices, which affects manufacturing output through two channels: (1) meeting subsistence requirements in the face of rising food prices causes...

3D geodata play an increasingly important role in precision agriculture, e.g., for modeling in-field variations of grain crop features such as height or biomass. A common data capturing method is LiDAR, which often requires expensive equipment and produces large datasets. This study contributes to the improvement of 3D geodata capturing efficiency by assessing the effect of reduced scanning res...

16 Agro-hydrological models are considered an economic and simple tool to quantify crop water 17 requirements. In the last two decades, agro-hydrological physically based models have been 18 developed to simulate mass and energy exchange processes in the soil-plant-atmosphere 19 system. Although very reliable, due to the high number of required variables, simplified 20 models have been proposed...

Reliable and real-time information on soil and crop properties is important for the development of management practices in accordance with the requirements of a specific soil and crop within individual field units. This is particularly the case in salt-affected agricultural landscape where managing the spatial variability of soil salinity is essential to minimize salinization and maximize crop ...

Process-based crop simulation models require employment of new knowledge for continuous improvement. To simulate growth and development of different genotypes of a given crop, most models use empirical relationships or parameters defined as genetic coefficients to represent the various cultivar characteristics. Such a loose introduction of different cultivar characteristics can result in bias w...

The agricultural regions are running into difficulties, which are restrictive availability of water, successive appearing draughts, and overuse of ground water resources for supplemental water requirements. As a sample which is got from the farm is sent to the laboratory for testing and the laboratory works need devices. Hence, conducting farm experiments are expensive and time consuming to opt...

As the world population grows and resources and climate conditions change, crop improvement continues to be one of the most important challenges for agriculturalists. The yield and quality of many crops is affected by abscission or shattering, and environmental stresses often hasten or alter the abscission process. Understanding this process can not only lead to genetic improvement, but also ch...