116 extractive question-and-answer pairs built from Agricultural Statistics at a Glance 2021, published by desagri.gov.in. Every answer is a verbatim span of text the source prints, and each row carries the passage it sits in, its offset in that passage, the source quote, the page and the location in the document, so any row can be checked against the original. 68 of the 116 pairs (58.6%) are explanatory questions and 48 restate a figure. 99.14% of rows pass the corpus quality gate.
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First 10 of 116 rows
| question | answer | context | answer_start | question_type | knowledge_quality_score | source_quote | source_page | source_location | confidence | validation_status |
|---|---|---|---|---|---|---|---|---|---|---|
| What is the function of the Directorate of Economics and Statistics in relation to Indian agriculture? | to collate and analyze data on various aspects of Indian agriculture | The Directorate of Economics and Statistics is the nodal agency to collate and analyze data on various aspects of Indian agriculture. Its annual flagship publication ‘Agricultural Statistics at a Glance’ provides a comprehensive database on important parameters, like area, production and productivity of various crops across States, land-use statistics, price support and procurement, international trade, credit and insurance. The wide-ranging coverage of data and its reliability makes this publication much sought after and valued. This issue of the publication also includes information on new areas of concern in agriculture sector; organic farming, water stress, CH4 emissions from burning of crop residue. I am grateful to the various contributing Ministries/Departments/Organizations for providing us with the updated material for the publication. | 64 | definition | 1.000 | The Directorate of Economics and Statistics is the nodal agency to collate and analyze data on various aspects of Indian agriculture. | 8 | page=8,block=6 | 0.700 | valid |
| What does the term indebtedness encompass in the Situation Assessment Survey of Agricultural Households? | all kind of outstanding loans irrespective of the purpose for which taken | Source: Situation Assessment Survey of Agricultural Households (Jan-Dec 2019), National Statistical Office(NSO) *Separate estimates for the newly formed States of Telangana and Andhra Pradesh are provided in place of erstwhile State of Andhra Pradesh Notes: 1. Reference period for land possession and Indebtedness is “as on the date of survey” 2. Indebtedness relates to all kind of outstanding loans irrespective of the purpose for which taken 3. Data pertains to Visit 1 | 374 | definition | 1.000 | Indebtedness relates to all kind of outstanding loans irrespective of the purpose for which taken 3. | 396 | page=396,block=2 | 0.700 | valid |
| How is the index number of area for a sub-group of commodities calculated? | ∑wi IAij i ∈ G . ∑wi i ∈ G | Appendices | 399 For any sub-group G of commodities, the indices for the year j are calculated as below: (a) Index number of area = ∑wi IAij i ∈ G . ∑wi i ∈ G (b) Index number of production = ∑wi IPij i ∈ G . ∑wi i ∈ G (c) Index number of yield = Index number of production × 100 Index number of area | 134 | definition | 1.000 | Appendices | 399 For any sub-group G of commodities, the indices for the year j are calculated as below: (a) Index number of area = ∑wi IAij i ∈ G . ∑wi i ∈ G (b) Index number of production = ∑wi IPij i ∈ G . | 424 | page=424,block=0 | 0.700 | valid |
| What is the formula used to compute the index number of production for a sub-group of commodities? | ∑wi IPij i ∈ G . ∑wi i ∈ G | Appendices | 399 For any sub-group G of commodities, the indices for the year j are calculated as below: (a) Index number of area = ∑wi IAij i ∈ G . ∑wi i ∈ G (b) Index number of production = ∑wi IPij i ∈ G . ∑wi i ∈ G (c) Index number of yield = Index number of production × 100 Index number of area | 194 | definition | 1.000 | ∑wi i ∈ G (b) Index number of production = ∑wi IPij i ∈ G . ∑wi i ∈ G (c) Index number of yield = Index number of production × 100 Index number of area | 424 | page=424,block=0 | 0.700 | valid |
| How is the index number of yield derived? | Index number of production × 100 Index number of area | Appendices | 399 For any sub-group G of commodities, the indices for the year j are calculated as below: (a) Index number of area = ∑wi IAij i ∈ G . ∑wi i ∈ G (b) Index number of production = ∑wi IPij i ∈ G . ∑wi i ∈ G (c) Index number of yield = Index number of production × 100 Index number of area | 249 | definition | 1.000 | ∑wi i ∈ G (c) Index number of yield = Index number of production × 100 Index number of area | 424 | page=424,block=0 | 0.700 | valid |
| What is the main goal of the General Crop Estimation Surveys? | to obtain fairly reliable estimates of average yield of principal food and non-food crops for States and UTs | and in the process gathers micro level information relating to conduct of crop cutting experiments for estimation of crop yield. NSO regularly brought out its annual publication entitled “Consolidated Results of Crop Estimation Surveys on Principal Crops”. The primary objective of GCES is to obtain fairly reliable estimates of average yield of principal food and non-food crops for States and UTs which are important from the point of view of crop production. The estimates of yield rates thus arrived at are generally adopted for the purposes of planning, policy formulation and implementation. | 290 | definition | 1.000 | The primary objective of GCES is to obtain fairly reliable estimates of average yield of principal food and non-food crops for States and UTs which are important from the point of view of crop production. | 451 | page=451,block=1 | 0.700 | valid |
| What is the objective of the FASAL scheme? | forecasts of area, production and yield based upon Remote Sensing and econometric modeling | For this purpose, State Governments have setup High Level Coordination Committees (HLCC) comprising, inter-alia, senior officers from the Departments of Agriculture, Economics & Statistics, Land Records and NSSO (FOD), IASRI, DES from Central Government for sorting out problems in preparation of these estimates in a timely and orderly manner. 1.12 Forecasting Agricultural Output using Space, Agro-meteorology and Land based observations (FASAL) Under the FASAL scheme, forecasts of area, production and yield based upon Remote Sensing and econometric modeling are generated. The agencies involved under the scheme are Space Application | 473 | definition | 1.000 | 1.12 Forecasting Agricultural Output using Space, Agro-meteorology and Land based observations (FASAL) Under the FASAL scheme, forecasts of area, production and yield based upon Remote Sensing and econometric modeling are generated. | 453 | page=453,block=10 | 0.700 | valid |
| What does the term 'buffer stock norms' refer to? | Existing Buffer Stock Norms for Foodgrains | Per Capita Availability of Certain Important Articles of Consumption 261 3.8(a) Trends in percentage composition of Consumer Expenditure since 1993-94 263 3.8(b) Per capita Consumption of Different Commodities 264 3.9(a) Stock of Foodgrains in the Central Pool 267 3.9(b) Existing Buffer Stock Norms for Foodgrains 268 3. Consumption and Stock of Raw Jute 269 3.11(a) State-wise Storage capacity 270 3.11(b) State-wise Cold Storage capacity 272 3. Food Subsidy 273 3. Production and Use of Agricultural Inputs in India 274 3. | 272 | definition | 1.000 | Per Capita Availability of Certain Important Articles of Consumption 261 3.8(a) Trends in percentage composition of Consumer Expenditure since 1993-94 263 3.8(b) Per capita Consumption of Different Commodities 264 3.9(a) Stock of Foodgrains in the Central Pool 267 3.9(b) Existing Buffer Stock Norms for Foodgrains 268 3. | 14 | page=14,block=0 | 0.700 | valid |
| What does the Accelerated Irrigation Benefit Programme (AIBP) focus on? | All Major & Medium Irrigation Projects | xv Table No. Particulars Page No. 4. Irrigation Potential Created under Accelerated Irrigation Benefit Programme (AIBP) – All Major & Medium Irrigation Projects 346 4. State-wise Area covered under Micro Irrigation 348 4. Ceilings on Land Holdings 349 4. Performance of South West Monsoon during 1989 to 2021 350 4. All India Rainfall Distribution from 1992-93 to 2021-22 351 4. Broad region-wise Monsoon (June-September) Rainfall Distribution from 2005 to 2021 353 5 Agriculture Census and Survey 355 5. Number and Area of Operational Holdings by Size Group 356 5. (a) Number of Operational Holdings by Size Group 357 5. (b) Area of Operational Holdings by Size Group 358 5. Average Size of Holdings by Size Group 359 5. Estimated Number of Operational Holdings by Size Classes and Irrigation Status 360 5. Area Irrigated by different Source of Irrigation by Size Classes 361 5. | 122 | definition | 1.000 | Irrigation Potential Created under Accelerated Irrigation Benefit Programme (AIBP) – All Major & Medium Irrigation Projects 346 4. | 16 | page=16,block=0 | 0.700 | valid |
| How were GDP estimates prior to 2011-12 calculated? | at factor cost based on 2004-05 series | *: First Revised Estimates; # : Third Revised Estimates; @ : Second Revised Estimates ** As per 4th Advance Estimates P-Provisional NA- Not Available a: GDP estimates prior to 2011-12 are at factor cost based on 2004-05 series. | 188 | definition | 1.000 | *: First Revised Estimates; # : Third Revised Estimates; @ : Second Revised Estimates ** As per 4th Advance Estimates P-Provisional NA- Not Available a: GDP estimates prior to 2011-12 are at factor cost based on 2004-05 series. | 57 | page=57,block=17 | 0.700 | valid |
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