What is agricultural statistics


Agricultural Statistics is an annual publication with data on agricultural production, value, storage, trade and much more. Agriculture is the backbone of Indian economy, provides data on agriculture area, production, institutional finance, wages, workforce, horticulture etc.


What is the role of Statistics in agriculture?

WASHINGTON, Dec. 6, 2021 – The U.S. Department of Agriculture‘s National Agricultural Statistics Service (NASS … “NACS plays an integral role in getting a complete count of U.S. agriculture,” said Census and Survey Division Director Barbara Rater.

Why is the USDA important?

Why is Agriculture Important?

  • Source of livelihood. Agriculture is the primary source of livelihood for everyone in the world. …
  • Contributes to National Revenue. …
  • Importance in international trade. …
  • Create employment opportunities. …
  • Heals the environment. …
  • It drives innovation in technology. …
  • 7 Significance in Transport. …
  • Marketable Surplus. …
  • Economic Development. …
  • Food security. …

Are NASS surveys required?

Response to this survey is required by law under Title 7 USC 2204(g) Public Law 105-113. Your response to this survey will help NASS provide the most complete accounting of agriculture in the United States.

What is the National Agricultural Workers survey?

The National Agricultural Workers Survey (NAWS) is the only national level surveillance system providing case specific injury information for this population of mostly marginalized, underserved, and hard to reach workers. The NAWS includes information for hired crop workers on US farms aged 14 years and older, regardless of worker documentation …


What is the meaning of agricultural statistics?

The principal tasks involved in agricultural statistics are the collection, processing, and analysis of statistical data that characterize the current status and development of agriculture and the fulfillment of production plans. Such data are used to draw up yearly and long-range plans for agricultural production.

Why do we need statistics in agriculture?

The purpose and importance of statistics is to serve the information needs associated with all aspects of multifunctionality of agriculture. This would allow for further development of multifunctional farms and for evaluating their performance.

How do farmers use statistics?

Farmers use the data, along with commodity prices, to make business deci- sions such as which crops to plant, how many cattle to raise, and when to harvest and sell products. The data, updated throughout the growing season, help to determine commod- ity prices.

What does the National Agricultural Statistics Service do?

The USDA’s National Agricultural Statistics Service (NASS) conducts hundreds of surveys every year and prepares reports covering virtually every aspect of U.S. agriculture.

What do you mean by statistics?

Statistics is the study and manipulation of data, including ways to gather, review, analyze, and draw conclusions from data. The two major areas of statistics are descriptive and inferential statistics. Statistics can be used to make better-informed business and investing decisions.

What are the importance of statistics?

Importance of Statistics It provides the exact description and better understanding. It helps in designing the effective and proper planning of the statistical inquiry in any field. It gives valid inferences with the reliability measures about the population parameters from the sample data.

What are the benefits of agricultural data systems?

The information obtained can help farmers identify efficiencies that lead to higher productivity and profitability, lower input costs, and optimized fertilizer use. The more a farmer knows about his or her farm, the better their opportunities to strengthen supply chain relationships.

What data do farmers collect?

Farmer participants were first asked about their collection of three common types of farm data—yield monitor data, grid or zone soil sampling data, and drone or satellite imagery data. Collection among our sample is common—particularly for yield monitor and soil data at 82% and 77%, respectively.

Are USDA surveys mandatory?

So what exactly is this all about? The USDA is required by statute to conduct a census of agriculture every five years. The census covers anyone with a farm.

How do you cite Nass?

Cite This ItemChicago citation style: United States. U.S. National Agricultural Statistics Service NASS . United States, 1998. … APA citation style: United States. (1998) U.S. National Agricultural Statistics Service NASS . … MLA citation style: United States. U.S. National Agricultural Statistics Service NASS .

When did the agricultural revolution start and end?

These revolutions started in England around the beginning of the 18th century. They spread throughout the world and continued through the middle of the 19th century or about 150 years. During this time, land was privatized and controlled by a smaller number of farmers.

How is supplemental data used in land use mapping?

Supplemental data (e.g., those derived from questionnaires or field samples) used in this way “train” the classification procedure to discern the effect of prevailing land use in the spectral signal of the land surface. Combinations of remotely sensed and census data have been used to create land use maps in many places, including Europe, United States, Canada, and China. The spatial resolution of such land use maps can be as high as the satellite sensor resolution (most commonly 1 km across such large regions) or, depending on the specific methods used and quality of census data, can be a compromise between the spatial resolutions of the remotely sensed and census data. The accuracy of the resulting maps depends on the tightness of the land cover/land use relationships (refer to the previous discussion of sequential strategy).

Why is it difficult to validate a land use map?

Validation of land use and land cover maps can be difficult because supplemental data are frequently needed to help distinguish land use from land cover (which can be derived from remote sensing data alone). The supplemental data, such as from an agricultural census or survey, may be the only source of information over large areas that can be employed to characterize land use. In the absence of independent information on land uses within an area, as well as their spatial distribution (e.g., from field surveys), the approach to validation is likely to be restricted to measurements of consistency between the completed land use map and the supplemental or ancillary data sets that permitted the land use map to be derived from remote sensing data. For example, the extent of a particular land use can be compared between the completed land use map and summary statistics provided at a county level by an ancillary data source, such as a census of agriculture. It is worth noting that, given the 1976 criterion of the Anderson group, that land uses should be represented by a particular cover type whenever possible, it may be possible to derive use from cover without extensive reliance on ancillary data sources. In that case, alternative estimates of land use, perhaps derived from supplemental data sources, could provide truly independent estimates of land use that could be used for validation purposes.

What is agricultural data?

The agricultural data refer to information presented quantita­tively, that is, figures on the various aspects of agriculture of a macro or micro region. The region may be a country as a whole or a state, or district, or block, or village, or farm, or the field itself.

What is the term for the facts and figures about agriculture?

The facts and figures about agriculture, whether they relate to land use, irrigation, forestry, agricultural production, yield and prices of the agricultural commodi­ties are called agricultural data.

How many hectares are there in India?

In an agrarian country, like India, having about 70.5 mil­lion operation holdings over an aggregate of 162 million hectares, the utility of agricultural statistics is even more important, though it has not been utilized adequately so far. The quantitative agricultural re­searches, in fact, are largely based on statistical data.

Is agriculture a fractional or isolated?

The agriculture of a place, in fact, is the result of many physical, social, cultural, eco­nomic, institutional, technological, political and psychological forces interacting upon each other and, therefore, the growth, development and problems of agriculture cannot be solved by fractional and iso­lated approaches.

Is agricultural research based on statistics?

The quantitative agricultural re­searches, in fact, are largely based on statistical data. The advent of modern data processing equipment’s has enabled the agricultural land use planners to utilize new techniques and meth­odologies and the demands for still more data. ADVERTISEMENTS:

What is the importance of agricultural statistics?

Statistics is concerned with statistical methods for gathering, arranging, summarizing, presenting, and evaluating sample data, as well as drawing accurate conclusions on population characteristics and making rational decisions based on such an analysis.

What is the purpose of statistics in agriculture?

Statistics on agriculture provide information about various operations and different methods that can be implemented to increase crop production. It also helps to assess the various crop yields and crop quality tests.

What is the branch of statistics focused on health sciences and biology applications?

Biostatistics is the branch of statistics application focused on health sciences and biology applications. Sir Francis Galton is the Father of Biostatistics. Biostatistic s is often differentiated from the biometric field on the basis of whether applications are in the health sciences (biostatistics) or in wider biology (e.g. biometry; agriculture, ecology, wildlife).

What is the meaning of statistics?

Meaning of statistics Statistics is concerned with scientific methods for collecting, organising, summarising, presenting and analysing data as well as deriving valid conclusions and making reasonable decisions on the basis of this analysis.

Why is statistics important?

1. Introduction  In the modern world of computers and information technology, the importance of statistics is very well recogonised by all the disciplines. Statistics has originated as a science of statehood and found applications slowly and steadily in Agriculture, Economics, Commerce, Biology, Medicine, Industry, planning, education and so on. As on date there is no other human walk of life, where statistics cannot be applied.

What is cropscape data?

CropScape is a geospatial data service, which offers advanced tools such as interactive visualization, web-based data dissemination, geospatial queries, and automated data delivery to systems such as Google Earth. It was developed in cooperation with the Center for Spatial Information Science and Systems at George Mason University.

What is the best source of county level data from NASS?

While Quick Stats is the best source of county level data from NASS, acreage and yield maps of county crop estimates are available. Click here to view County Maps.

What is crop CASMA?

Crop Condition and Soil Moisture Analytics (Crop-CASMA) is a web-based geospatial application. It is designed to remotely sense geospatial soil moisture and vegetation index data derived from NASA Soil Moisture Active Passive (SMAP) and Moderate Resolution Imaging Spectroradiometer (MODIS) missions to assess U.S. soil moisture condition and crop vegetation conditions. It is designed and developed by USDA-NASS and the Center for Spatial Information Science and Systems at George Mason University.

Which countries are involved in farming?

The principal countries/regions of origin were Canada, the European Union, and Mexico. Farming also involves significant production costs. A closer look at the composition of these costs shows that feed made up the largest share, followed by costs associated with farm services, livestock and poultry.

What countries are exporting agricultural products in 2020?

In 2020, exports of agricultural products were worth some 164 billion U.S. dollars. The most important countries of destination were China, Canada, and Mexico. Conversely, imports worth around 130.2 billion U.S. dollars made their way into the United States that same year. The principal countries/regions of origin were Canada, the European Union, and Mexico.

What percentage of soybeans are genetically modified?

Some crops have a very high share of GM crops per species. For example in 2020, some 94 percent of all soybeans planted in the U.S. were genetically modified so as to be herbicide tolerant.

Is the United States a leading agricultural producer?

Thanks to its natural resources and land conditions, the United States was always destined to be one of the world’s leading agricultural producers and suppliers.


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