Many of the undernourished people on the planet obtain their entitlements to food via agricultural-based livelihood strategies, often on underperforming croplands and smallholdings. In this context, expanding cropland extent is not a viable strategy for smallholders to meet their food needs. Therefore, attention must shift to increasing productivity on existing plots and ensuring yield gaps do ...

Estimating crop yields is critical for regions in the Aral Sea Basin, where agriculture, predominantly cotton (Gossypium hirsutum L.) production, is the main source of income. Monitoring the spatial distribution of cotton yields helps identifying sites with yield constraints, so that appropriate counteractions such as the application of targeted agricultural inputs or land use restructuring can...

it is expected that inflation in a country with one currency is convergent in all regions. this has been associated with “convergence” directly. in policymakers’ viewpoint, convergence is a serious topic. although the topic of inflation is investigated in macroeconomics, some inflation indexes, for instance inflation of food prices has attracted special attention. generally, the issue of food i...

Although we agree that a finer resolution analysis could improve our understanding of the C balance in Mexico, most current models and the driving data needed to force them are on either a 0.5x0.5 or 1x1 resolution or higher. In addition, increasing the spatial resolution may not necessarily yield better results, as finer-scale processes may or may not affect larger scale processes (e.g. landsl...

tially variable soil properties that affect crop yield to better optimize crop productivity and to maintain the Crop yield inconsistently correlates with apparent soil electrical sustainability of agriculture. conductivity (ECa) because of the influence of soil properties (e.g., Site-specific crop management is the management of salinity, water content, texture, etc.) that may or may not influe...

A novel technique to obtain optimum blind spatial processing for frequency diversity spread spectrum (FDSS) communication systems is introduced. The sufficient statistics for a linear combiner, which prove ineffective due to the interferers frequency characteristics, are modified to yield improved detection under partial jamming in the spectral domain. Robustness to partial time jamming is achi...

This paper presents a method to recover task-related sources from a multi-class BrainComputer Interface (BCI) based on motor imagery. Our method gathers two common approaches to tackle the multi-class problem: 1) the supervised approach of Common Spatial Pattern (CSP) to discriminate between different tasks; 2) the criterion of statistical independence of non-stationary sources used in Independ...