A MATHEMATICAL PROGRAMMING MODEL FOR OPTIMAL MANAGEMENT ZONE DELINEATION IN PRECISION AGRICULTURE

The identification of optimal management zones, including optimal uniform grid size, is a complex issue central to the successful implementation of variable rate input application. A novel economic optimization model is developed and applied that identifies the economically optimal management zone. Variable rate seeding can increase profits and reduce risk.Farm Management,

PRODUCTION PRACTICE ALTERNATIVES FOR INCOME AND SUITABLE FIELD DAY RISK MANAGEMENT

Production risk includes yield and days suitable for fieldwork variability. Both were modeled using biophysical simulation and a mean-variance, chance-constrained mathematical programming formulation representing a Kentucky corn, soybean, and wheat producer. While crop diversification, planting date, and maturity group can be used to reduce the types of risk considered, interaction between the two influences how production practices are used to manage risk. For the conditions studied, plant population alterations were less effective for risk reduction of either component. The study provides evidence of the importance of the consideration of both elements of production risk in whole farm planning.days suitable for fieldwork, mathematical programming, risk management, Crop Production/Industries, Risk and Uncertainty,

Shock absorbing mount for electrical components

A shock mount for installing electrical components on circuit boards is described. The shock absorber is made of viscoelastic material which interconnects the electrical components. With this system, shocks imposed on one component of the circuit are not transmitted to other components. A diagram of a typical circuit is provided

Redundant Array Configurations for 21 cm Cosmology

Realizing the potential of 21 cm tomography to statistically probe the intergalactic medium before and during the Epoch of Reionization requires large telescopes and precise control of systematics. Next-generation telescopes are now being designed and built to meet these challenges, drawing lessons from first-generation experiments that showed the benefits of densely packed, highly redundant arrays--in which the same mode on the sky is sampled by many antenna pairs--for achieving high sensitivity, precise calibration, and robust foreground mitigation. In this work, we focus on the Hydrogen Epoch of Reionization Array (HERA) as an interferometer with a dense, redundant core designed following these lessons to be optimized for 21 cm cosmology. We show how modestly supplementing or modifying a compact design like HERA's can still deliver high sensitivity while enhancing strategies for calibration and foreground mitigation. In particular, we compare the imaging capability of several array configurations, both instantaneously (to address instrumental and ionospheric effects) and with rotation synthesis (for foreground removal). We also examine the effects that configuration has on calibratability using instantaneous redundancy. We find that improved imaging with sub-aperture sampling via "off-grid" antennas and increased angular resolution via far-flung "outrigger" antennas is possible with a redundantly calibratable array configuration.Comment: 19 pages, 11 figures. Revised to match the accepted ApJ versio

PRECISION AGRICULTURE, WHOLE FIELD FARMING AND IRRIGATION PRACTICES: A FINANCIAL RISK ANALYSIS

One of the main advantages of precision agriculture (PA) is its potential to increase profitability by optimizing the productivity of each section of the field. Incorporating irrigation practices to the PA technology could further increase profitability. However, investing in a complete set of precision agriculture (PA) and/or irrigation equipment represents for the average Kentuckian grain producer a substantial investment that can have a significant impact on the financial risk the he/she faces. An analysis of the consequences of that investment on the farm's cash flow and debt to asset ratio is investigated hereCrop Production/Industries,

Precision Timing and Spatial Allocation of Economic Fertilizer Application

Recent increases in fertilizer, particularly nitrogen, and fuel price have resulted in increased production cost for farmers. In this paper a farm level production model that compare uniform and variable rate fertilizer (NPK) application is developed that permits an analysis of the economic performance of fertilizer management regarding profitability. Results show that farmer's exposure to fertilizer and fuel prices risk have substantial impact both on the expected net returns and production practices for producers both uniform and variable rate technology.Q12, Q15, Q55, Crop Production/Industries,

Modeling views in the layered view model for XML using UML

In data engineering, view formalisms are used to provide flexibility to users and user applications by allowing them to extract and elaborate data from the stored data sources. Conversely, since the introduction of Extensible Markup Language (XML), it is fast emerging as the dominant standard for storing, describing, and interchanging data among various web and heterogeneous data sources. In combination with XML Schema, XML provides rich facilities for defining and constraining user-defined data semantics and properties, a feature that is unique to XML. In this context, it is interesting to investigate traditional database features, such as view models and view design techniques for XML. However, traditional view formalisms are strongly coupled to the data language and its syntax, thus it proves to be a difficult task to support views in the case of semi-structured data models. Therefore, in this paper we propose a Layered View Model (LVM) for XML with conceptual and schemata extensions. Here our work is three-fold; first we propose an approach to separate the implementation and conceptual aspects of the views that provides a clear separation of concerns, thus, allowing analysis and design of views to be separated from their implementation. Secondly, we define representations to express and construct these views at the conceptual level. Thirdly, we define a view transformation methodology for XML views in the LVM, which carries out automated transformation to a view schema and a view query expression in an appropriate query language. Also, to validate and apply the LVM concepts, methods and transformations developed, we propose a view-driven application development framework with the flexibility to develop web and database applications for XML, at varying levels of abstraction

Precision Feeding in Dairy Ration Cost Minimization Under Producer's Risk Management

The biophysical simulation data from Cornell Net Carbohydrate and Protein System were used in non-linear programming model for least cost ration incorporating ingredient nutrient and price variations. Precision feeding practice indicated to have lower mean cost ration than whole herd feeding in terms of ration cost.Non-linear programming, nutrient variation, price variation, precision feeding, environmental pollution, phosphorus, nitrogen, mean cost ration, whole herd feeding, Livestock Production/Industries, Risk and Uncertainty,