United States Department of Agriculture
The United States Department of Agriculture known as the Agriculture Department, is the U. S. federal executive department responsible for developing and executing federal laws related to farming and food. It aims to meet the needs of farmers and ranchers, promote agricultural trade and production, work to assure food safety, protect natural resources, foster rural communities and end hunger in the United States and internationally. 80% of the USDA's $141 billion budget goes to the Food and Nutrition Service program. The largest component of the FNS budget is the Supplemental Nutrition Assistance Program, the cornerstone of USDA's nutrition assistance; the current Secretary of Agriculture is Sonny Perdue. Many of the programs concerned with the distribution of food and nutrition to people of America and providing nourishment as well as nutrition education to those in need are run and operated under the USDA Food and Nutrition Service. Activities in this program include the Supplemental Nutrition Assistance Program, which provides healthy food to over 40 million low-income and homeless people each month.
USDA is a member of the United States Interagency Council on Homelessness, where it is committed to working with other agencies to ensure these mainstream benefits are accessed by those experiencing homelessness. The USDA is concerned with assisting farmers and food producers with the sale of crops and food on both the domestic and world markets, it plays a role in overseas aid programs by providing surplus foods to developing countries. This aid can go through USAID, foreign governments, international bodies such as World Food Program, or approved nonprofits; the Agricultural Act of 1949, section 416 and Agricultural Trade Development and Assistance Act of 1954 known as Food for Peace, provides the legal basis of such actions. The USDA is a partner of the World Cocoa Foundation. Early in its history, the economy of the United States was agrarian. Officials in the federal government had long sought new and improved varieties of seeds and animals for import into the United States. In 1837 Henry Leavitt Ellsworth, a Yale-educated attorney interested in improving agriculture, became Commissioner of Patents, a position within the Department of State.
He began collecting and distributing new varieties of seeds and plants through members of the Congress and agricultural societies. In 1839, Congress established the Agricultural Division within the Patent Office and allotted $1,000 for "the collection of agricultural statistics and other agricultural purposes." Ellsworth's interest in aiding agriculture was evident in his annual reports that called for a public depository to preserve and distribute the new seeds and plants, a clerk to collect agricultural statistics, statewide reports about crops in different regions, the application of chemistry to agriculture. Ellsworth was called the "Father of the Department of Agriculture."In 1849, the Patent Office was transferred to the newly created Department of the Interior. In the ensuing years, agitation for a separate bureau of agriculture within the department or a separate department devoted to agriculture kept recurring. On May 15, 1862, Abraham Lincoln established the independent Department of Agriculture to be headed by a commissioner without Cabinet status, the agriculturalist Isaac Newton was appointed to be the first such commissioner.
Lincoln called it the "people's department." In 1868, the Department moved into the new Department of Agriculture Building in Washington, D. C. designed by famed DC architect Adolf Cluss. Located on Reservation No.2 on the National Mall between 12th Street and 14th SW, the Department had offices for its staff and the entire width of the Mall up to B Street NW to plant and experiment with plants. In the 1880s, varied advocacy groups were lobbying for Cabinet representation. Business interests sought a Department of Commerce and Industry, farmers tried to raise the Department of Agriculture to Cabinet rank. In 1887, the House of Representatives and Senate passed bills giving Cabinet status to the Department of Agriculture and Labor, but the bill was defeated in conference committee after farm interests objected to the addition of labor. On February 9, 1889, President Grover Cleveland signed a bill into law elevating the Department of Agriculture to Cabinet level. In 1887, the Hatch Act provided for the federal funding of agricultural experiment stations in each state.
The Smith-Lever Act of 1914 funded cooperative extension services in each state to teach agriculture, home economics, other subjects to the public. With these and similar provisions, the USDA reached out to every county of every state. During the Great Depression, farming remained a common way of life for millions of Americans; the Department of Agriculture's Bureau of Home Economics, established in 1923, published shopping advice and recipes to stretch family budgets and make food go farther. USDA helped ensure that food continued to be produced and distributed to those who needed it, assisted with loans for small landowners, contributed to the education of the rural youth, it was revealed on August 27th, 2018 that the U. S. Department of Agriculture would be providing U. S. farmers with a farm aid package, which will total $4.7 billion in direct payments to American farmers. This package is meant to offset the losses farmers are expected to incur from retaliatory tariffs placed on American exports during the Trump tariffs.
The Department of Agriculture was authorized a budget for Fiscal Year 2015 of $139.7 billion. The budget authorization is broken down as follows: Agricultural Stabilization and Conservation Service Animal Damage Control (
Representational state transfer
Representational State Transfer is a software architectural style that defines a set of constraints to be used for creating Web services. Web services that conform to the REST architectural style, termed RESTful Web services, provide interoperability between computer systems on the Internet. RESTful Web services allow the requesting systems to access and manipulate textual representations of Web resources by using a uniform and predefined set of stateless operations. Other kinds of Web services, such as SOAP Web services, expose their own arbitrary sets of operations."Web resources" were first defined on the World Wide Web as documents or files identified by their URLs. However, today they have a much more generic and abstract definition that encompasses every thing or entity that can be identified, addressed, or handled, in any way whatsoever, on the Web. In a RESTful Web service, requests made to a resource's URI will elicit a response with a payload formatted in HTML, XML, JSON, or some other format.
The response can confirm that some alteration has been made to the stored resource, the response can provide hypertext links to other related resources or collections of resources. When HTTP is used, as is most common, the operations available are GET, HEAD, POST, PUT, PATCH, DELETE, CONNECT, OPTIONS and TRACE. By using a stateless protocol and standard operations, RESTful systems aim for fast performance and the ability to grow, by re-using components that can be managed and updated without affecting the system as a whole while it is running; the term representational state transfer was introduced and defined in 2000 by Roy Fielding in his doctoral dissertation. Fielding's dissertation explained the REST principles that were known as the "HTTP object model" beginning in 1994, were used in designing the HTTP 1.1 and Uniform Resource Identifiers standards. The term is intended to evoke an image of how a well-designed Web application behaves: it is a network of Web resources where the user progresses through the application by selecting resource identifiers such as http://www.example.com/articles/21 and resource operations such as GET or POST, resulting in the next resource's representation being transferred to the end user for their use.
Roy Fielding defined REST in his 2000 PhD dissertation "Architectural Styles and the Design of Network-based Software Architectures" at UC Irvine. He developed the REST architectural style in parallel with HTTP 1.1 of 1996–1999, based on the existing design of HTTP 1.0 of 1996. In a retrospective look at the development of REST, Fielding said: The constraints of the REST architectural style affect the following architectural properties: performance in component interactions, which can be the dominant factor in user-perceived performance and network efficiency. Roy Fielding describes REST's effect on scalability. Six guiding constraints define a RESTful system; these constraints restrict the ways that the server can process and respond to client requests so that, by operating within these constraints, the system gains desirable non-functional properties, such as performance, simplicity, visibility and reliability. If a system violates any of the required constraints, it cannot be considered RESTful.
The formal REST constraints are as follows: The principle behind the client–server constraints is the separation of concerns. Separating the user interface concerns from the data storage concerns improves the portability of the user interface across multiple platforms, it improves scalability by simplifying the server components. Most significant to the Web, however, is that the separation allows the components to evolve independently, thus supporting the Internet-scale requirement of multiple organizational domains; the client–server communication is constrained by no client context being stored on the server between requests. Each request from any client contains all the information necessary to service the request, session state is held in the client; the session state can be transferred by the server to another service such as a database to maintain a persistent state for a period and allow authentication. The client begins sending requests. While one or more requests are outstanding, the client is considered to be in transition.
The representation of each application state contains links that can be used the next time the client chooses to initiate a new state-transition. As on the World Wide Web and intermediaries can cache responses. Responses must therefore, implicitly or explicitly, define themselves as cacheable or not to prevent clients from getting stale or inappropriate data in response to further requests. Well-managed caching or eliminates some client–server interactions, further improving scalability and performance. A client cannot ordinarily tell whether it is connected directly to the end server, or to an intermediary along the way. Intermediary servers can improve system scalability by enabling load balancing and by providing shared caches, they can enforce security policies. Servers can temporarily extend or customize the functionality of a client by transf
A database is an organized collection of data stored and accessed electronically from a computer system. Where databases are more complex they are developed using formal design and modeling techniques; the database management system is the software that interacts with end users and the database itself to capture and analyze the data. The DBMS software additionally encompasses; the sum total of the database, the DBMS and the associated applications can be referred to as a "database system". The term "database" is used to loosely refer to any of the DBMS, the database system or an application associated with the database. Computer scientists may classify database-management systems according to the database models that they support. Relational databases became dominant in the 1980s; these model data as rows and columns in a series of tables, the vast majority use SQL for writing and querying data. In the 2000s, non-relational databases became popular, referred to as NoSQL because they use different query languages.
Formally, a "database" refers to the way it is organized. Access to this data is provided by a "database management system" consisting of an integrated set of computer software that allows users to interact with one or more databases and provides access to all of the data contained in the database; the DBMS provides various functions that allow entry and retrieval of large quantities of information and provides ways to manage how that information is organized. Because of the close relationship between them, the term "database" is used casually to refer to both a database and the DBMS used to manipulate it. Outside the world of professional information technology, the term database is used to refer to any collection of related data as size and usage requirements necessitate use of a database management system. Existing DBMSs provide various functions that allow management of a database and its data which can be classified into four main functional groups: Data definition – Creation and removal of definitions that define the organization of the data.
Update – Insertion and deletion of the actual data. Retrieval – Providing information in a form directly usable or for further processing by other applications; the retrieved data may be made available in a form the same as it is stored in the database or in a new form obtained by altering or combining existing data from the database. Administration – Registering and monitoring users, enforcing data security, monitoring performance, maintaining data integrity, dealing with concurrency control, recovering information, corrupted by some event such as an unexpected system failure. Both a database and its DBMS conform to the principles of a particular database model. "Database system" refers collectively to the database model, database management system, database. Physically, database servers are dedicated computers that hold the actual databases and run only the DBMS and related software. Database servers are multiprocessor computers, with generous memory and RAID disk arrays used for stable storage.
RAID is used for recovery of data. Hardware database accelerators, connected to one or more servers via a high-speed channel, are used in large volume transaction processing environments. DBMSs are found at the heart of most database applications. DBMSs may be built around a custom multitasking kernel with built-in networking support, but modern DBMSs rely on a standard operating system to provide these functions. Since DBMSs comprise a significant market and storage vendors take into account DBMS requirements in their own development plans. Databases and DBMSs can be categorized according to the database model that they support, the type of computer they run on, the query language used to access the database, their internal engineering, which affects performance, scalability and security; the sizes and performance of databases and their respective DBMSs have grown in orders of magnitude. These performance increases were enabled by the technology progress in the areas of processors, computer memory, computer storage, computer networks.
The development of database technology can be divided into three eras based on data model or structure: navigational, SQL/relational, post-relational. The two main early navigational data models were the hierarchical model and the CODASYL model The relational model, first proposed in 1970 by Edgar F. Codd, departed from this tradition by insisting that applications should search for data by content, rather than by following links; the relational model employs sets of ledger-style tables, each used for a different type of entity. Only in the mid-1980s did computing hardware become powerful enough to allow the wide deployment of relational systems. By the early 1990s, relational systems dominated in all large-scale data processing applications, as of 2018 they remain dominant: IBM DB2, Oracle, MySQL, Microsoft SQL Server are the most searched DBMS; the dominant database language, standardised SQL for the relational model, has influenced database languages for other data models. Object databases were developed in the 1980s to overcome the inconvenience of object-relational impedance mismatch, which led to the coining of the term "post-relational" and the development of hybrid object-relational databas