Changes

              
    

          
          
        
        

            
f
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{
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{
            
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  "SDGs": [],
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  "SDGs": [],
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
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  "creator_user_id": "2d6f4b88-ac2a-4d68-8d0f-7c6235b7b442",
            
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  "extras": [
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  "extras": [
            
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    {
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    {
            
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      "key": "fields",
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      "key": "fields",
            
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      "value": "id, year, state_name, state_code, crop_type, crop, 
9
      "value": "id, year, state_name, state_code, crop_type, crop, 
            
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crop_code, cultivationcosta1, cultivationcosta2, cultivationcostb1, 
10
crop_code, cultivationcosta1, cultivationcosta2, cultivationcostb1, 
            
11
cultivationcostb2, cultivationcostc1, cultivationcostc2, 
11
cultivationcostb2, cultivationcostc1, cultivationcostc2, 
            
12
cultivationcostc2revised, productioncosta1, productioncosta2, 
12
cultivationcostc2revised, productioncosta1, productioncosta2, 
            
13
productioncostb1, productioncostb2, productioncostc1, 
13
productioncostb1, productioncostb2, productioncostc1, 
            
14
productioncostc2, productioncostc2revised, productioncostc3, 
14
productioncostc2, productioncostc2revised, productioncostc3, 
            
15
mainproductvalue, byproductvalue, materialinputseed, 
15
mainproductvalue, byproductvalue, materialinputseed, 
            
16
materialinputfertilizer, materialinputmanure, labourinputhuman, 
16
materialinputfertilizer, materialinputmanure, labourinputhuman, 
            
17
labourinputanimal, materialinputseedrate, materialinputfertilizerrate, 
17
labourinputanimal, materialinputseedrate, materialinputfertilizerrate, 
            
18
materialinputmanurerate, labourinputhumanrate, labourinputanimalrate, 
18
materialinputmanurerate, labourinputhumanrate, labourinputanimalrate, 
            
19
implicitrate, holdingsnumber, tehsilsnumber, cropderivedyield, 
19
implicitrate, holdingsnumber, tehsilsnumber, cropderivedyield, 
            
20
humanlabourhoursfamily, humanlabourhoursattached, 
20
humanlabourhoursfamily, humanlabourhoursattached, 
            
21
humanlabourhourscasual, humanlabourhourstotal, 
21
humanlabourhourscasual, humanlabourhourstotal, 
            
22
operationalcosthumanlabourfamily, operationalcosthumanlabourattach, 
22
operationalcosthumanlabourfamily, operationalcosthumanlabourattach, 
            
23
operationalcosthumanlabourcasual, operationalcosthumanlabourtotal, 
23
operationalcosthumanlabourcasual, operationalcosthumanlabourtotal, 
            
24
operationalcostanimallabourhired, operationalcostanimallabourowned, 
24
operationalcostanimallabourhired, operationalcostanimallabourowned, 
            
25
operationalcostanimallabourtotal, operationalcostmachlabourhired, 
25
operationalcostanimallabourtotal, operationalcostmachlabourhired, 
            
26
operationalcostmachlabourownd, operationalcostmachlabourtot, 
26
operationalcostmachlabourownd, operationalcostmachlabourtot, 
            
27
operationalcostseed, operationalcostfertilizer, operationalcostmanure, 
27
operationalcostseed, operationalcostfertilizer, operationalcostmanure, 
            
28
operationalcostfertilizermanure, operationalcostinsecticides, 
28
operationalcostfertilizermanure, operationalcostinsecticides, 
            
29
operationalcostirrigationcharges, operationalcostmiscellaneous, 
29
operationalcostirrigationcharges, operationalcostmiscellaneous, 
            
30
operationalcostworkingcapitalint, operationalcost, 
30
operationalcostworkingcapitalint, operationalcost, 
            
31
fixedcostownlandrentvalue, fixedcostleasedlandrentpaid, 
31
fixedcostownlandrentvalue, fixedcostleasedlandrentpaid, 
            
32
fixedcostlandrevenue, fixedcostdepreciation, 
32
fixedcostlandrevenue, fixedcostdepreciation, 
            
33
fixedcostfixedcapitalinterest, fixedcost, totalcost"
33
fixedcostfixedcapitalinterest, fixedcost, totalcost"
            
34
    }
34
    }
            
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  ],
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  ],
            
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  "groups": [],
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  "groups": [],
            
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  "id": "41388795-3e3d-4c7e-82dc-d36335ad18b9",
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  "id": "41388795-3e3d-4c7e-82dc-d36335ad18b9",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "Open Data Commons Attribution License",
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  "license_id": "Open Data Commons Attribution License",
            
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  "license_title": "Open Data Commons Attribution License",
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  "license_title": "Open Data Commons Attribution License",
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2023-09-15T04:13:19.738511",
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  "metadata_created": "2023-09-15T04:13:19.738511",
            
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  "metadata_modified": "2025-12-19T08:08:07.651560",
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  "metadata_modified": "2025-12-19T10:19:20.570050",
            
45
  "name": "cost-of-cultivation",
45
  "name": "cost-of-cultivation",
            
46
  "notes": "The \"Cost of Cultivation\" compiles cost statistics for 
46
  "notes": "The \"Cost of Cultivation\" compiles cost statistics for 
            
47
cultivating various crops across the country, detailing expenses from 
47
cultivating various crops across the country, detailing expenses from 
            
48
seeds to labor. It's a valuable resource for agriculture research and 
48
seeds to labor. It's a valuable resource for agriculture research and 
            
49
policymaking, aiding in crop selection, resource allocation, and 
49
policymaking, aiding in crop selection, resource allocation, and 
            
50
policy decisions.",
50
policy decisions.",
            
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  "num_resources": 1,
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  "num_resources": 1,
            
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  "num_tags": 1,
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  "num_tags": 1,
            
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  "organization": {
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  "organization": {
            
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    "approval_status": "approved",
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    "approval_status": "approved",
            
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    "created": "2022-12-05T03:44:54.080358",
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    "created": "2022-12-05T03:44:54.080358",
            
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    "description": "",
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    "description": "",
            
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    "id": "94317457-d297-4549-9640-7865034682c5",
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    "id": "94317457-d297-4549-9640-7865034682c5",
            
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
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    "image_url": "2023-12-08-070530.691105iSB-IDP-Logo.png",
            
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "idp-organization",
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    "name": "idp-organization",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "IDP organization",
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    "title": "IDP organization",
            
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    "type": "organization"
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    "type": "organization"
            
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  },
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  },
            
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
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  "owner_org": "94317457-d297-4549-9640-7865034682c5",
            
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  "private": false,
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  "private": false,
            
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  "relationships_as_object": [],
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  "relationships_as_object": [],
            
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  "relationships_as_subject": [],
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  "relationships_as_subject": [],
            
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  "resources": [
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  "resources": [
            
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    {
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    {
            
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      "additional_info": "nan",
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      "additional_info": "nan",
            
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      "cache_last_updated": null,
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      "cache_last_updated": null,
            
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      "cache_url": null,
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      "cache_url": null,
            
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      "created": "2024-10-01T11:52:28.071030",
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      "created": "2024-10-01T11:52:28.071030",
            
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      "data_extraction_page": 
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      "data_extraction_page": 
            
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n/document-report-category/cost-of-cultivation-production-estimates/",
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n/document-report-category/cost-of-cultivation-production-estimates/",
            
77
      "data_insights": "The dataset provides intriguing insights into 
77
      "data_insights": "The dataset provides intriguing insights into 
            
78
agricultural dynamics. It unveils how cultivation costs vary across 
78
agricultural dynamics. It unveils how cultivation costs vary across 
            
79
states and years, shedding light on regional disparities and economic 
79
states and years, shedding light on regional disparities and economic 
            
80
trends. Additionally, it allows us to discern the distinctions between 
80
trends. Additionally, it allows us to discern the distinctions between 
            
81
cultivation costs and production costs, offering valuable distinctions 
81
cultivation costs and production costs, offering valuable distinctions 
            
82
for financial planning and efficiency assessments. Furthermore, by 
82
for financial planning and efficiency assessments. Furthermore, by 
            
83
examining the variations in labor utilization, one can construct 
83
examining the variations in labor utilization, one can construct 
            
84
compelling arguments regarding workforce patterns and their 
84
compelling arguments regarding workforce patterns and their 
            
85
implications for agricultural productivity, making this dataset an 
85
implications for agricultural productivity, making this dataset an 
            
86
invaluable resource for understanding and optimizing farming 
86
invaluable resource for understanding and optimizing farming 
            
87
practices.",
87
practices.",
            
88
      "data_last_updated": "04-06-2024",
88
      "data_last_updated": "04-06-2024",
            
89
      "data_retreival_date": "11-10-2024",
89
      "data_retreival_date": "11-10-2024",
            
90
      "datastore_active": true,
90
      "datastore_active": true,
            
91
      "description": "The \"Cost of Cultivation\" provides an in-depth 
91
      "description": "The \"Cost of Cultivation\" provides an in-depth 
            
92
examination of the economic aspects of agricultural practices in 
92
examination of the economic aspects of agricultural practices in 
            
93
India, segmented by year, state, and specific crops. It meticulously 
93
India, segmented by year, state, and specific crops. It meticulously 
            
94
breaks down both operational and fixed costs associated with 
94
breaks down both operational and fixed costs associated with 
            
95
cultivation, encompassing material inputs such as seeds and 
95
cultivation, encompassing material inputs such as seeds and 
            
96
fertilizers, labor costs (human, animal, and machine), and other 
96
fertilizers, labor costs (human, animal, and machine), and other 
            
97
ancillary expenses. Furthermore, the dataset delineates costs under 
97
ancillary expenses. Furthermore, the dataset delineates costs under 
            
98
various categorizations (e.g., A1, A2, B1, B2, C1, C2), giving a 
98
various categorizations (e.g., A1, A2, B1, B2, C1, C2), giving a 
            
99
comprehensive view of different expenditure scenarios. By detailing 
99
comprehensive view of different expenditure scenarios. By detailing 
            
100
the values of main and by-products alongside the implicit rates, this 
100
the values of main and by-products alongside the implicit rates, this 
            
101
dataset becomes an invaluable tool for policymakers, researchers, and 
101
dataset becomes an invaluable tool for policymakers, researchers, and 
            
102
farmers to understand the financial dynamics of farming and make 
102
farmers to understand the financial dynamics of farming and make 
            
103
informed agricultural decisions.",
103
informed agricultural decisions.",
            
104
      "district_no": "0",
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      "district_no": "0",
            
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      "format": "CSV",
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      "format": "CSV",
            
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      "frequency": "Yearly",
106
      "frequency": "Yearly",
            
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      "geo_columns": [
107
      "geo_columns": [
            
108
        "state_code"
108
        "state_code"
            
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      ],
109
      ],
            
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      "gp_no": "0",
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      "gp_no": "0",
            
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      "granularity": "State",
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      "granularity": "State",
            
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      "hash": "",
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      "hash": "",
            
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      "id": "be22e37e-acfc-43a9-859c-d4a066489a69",
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      "id": "be22e37e-acfc-43a9-859c-d4a066489a69",
            
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      "idp_ready": true,
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      "idp_ready": true,
            
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      "indicators": [],
115
      "indicators": [],
            
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      "last_modified": "2024-10-14T04:45:49.550068",
116
      "last_modified": "2024-10-14T04:45:49.550068",
            
117
      "lgd_mapping": "yes",
117
      "lgd_mapping": "yes",
            
118
      "metadata_modified": "2025-12-19T08:08:07.655789",
118
      "metadata_modified": "2025-12-19T08:08:07.655789",
            
119
      "methodology": "The methodology used by DES involves collecting 
119
      "methodology": "The methodology used by DES involves collecting 
            
120
data from a sample of farmers in each state, who are selected through 
120
data from a sample of farmers in each state, who are selected through 
            
121
a stratified random sampling technique. The sample size is determined 
121
a stratified random sampling technique. The sample size is determined 
            
122
based on the number of operational holdings in the state, and the 
122
based on the number of operational holdings in the state, and the 
            
123
sample is selected from different size classes of holdings to ensure 
123
sample is selected from different size classes of holdings to ensure 
            
124
representation of all types of farmers.",
124
representation of all types of farmers.",
            
125
      "mimetype": null,
125
      "mimetype": null,
            
126
      "mimetype_inner": null,
126
      "mimetype_inner": null,
            
127
      "name": "Cost of Cultivation",
127
      "name": "Cost of Cultivation",
            
128
      "no_indicators": "59",
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      "no_indicators": "59",
            
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      "package_id": "41388795-3e3d-4c7e-82dc-d36335ad18b9",
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      "package_id": "41388795-3e3d-4c7e-82dc-d36335ad18b9",
            
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      "position": 0,
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      "position": 0,
            
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      "resource_type": null,
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      "resource_type": null,
            
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      "similar_resources": "",
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      "similar_resources": "",
            
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      "size": 1762594,
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      "size": 1762594,
            
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      "sku": "moafw-cost_of_cultivation-st-yr-dvq",
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      "sku": "moafw-cost_of_cultivation-st-yr-dvq",
            
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      "state": "active",
135
      "state": "active",
            
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      "states_uts_no": "20",
136
      "states_uts_no": "20",
            
137
      "tehsil_no": "0",
137
      "tehsil_no": "0",
            
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      "url": 
138
      "url": 
            
139
e22e37e-acfc-43a9-859c-d4a066489a69/download/cost-of-cultivation.csv",
139
e22e37e-acfc-43a9-859c-d4a066489a69/download/cost-of-cultivation.csv",
            
140
      "url_type": "upload",
140
      "url_type": "upload",
            
141
      "years_covered": "1996-2021"
141
      "years_covered": "1996-2021"
            
142
    }
142
    }
            
143
  ],
143
  ],
            
144
  "sector": [
144
  "sector": [
            
145
    "Food and Agriculture"
145
    "Food and Agriculture"
            
146
  ],
146
  ],
            
147
  "source_name": "Directorate of Economics and Statistics, Department 
147
  "source_name": "Directorate of Economics and Statistics, Department 
            
148
of Agriculture Cooperation and Farmers Welfare, Ministry of 
148
of Agriculture Cooperation and Farmers Welfare, Ministry of 
            
149
Agriculture and Farmers Welfare",
149
Agriculture and Farmers Welfare",
            
150
  "state": "active",
150
  "state": "active",
            
151
  "title": "Cost of Cultivation",
151
  "title": "Cost of Cultivation",
            
152
  "type": "dataset",
152
  "type": "dataset",
            
153
  "url": "https://desagri.gov.in/",
153
  "url": "https://desagri.gov.in/",
            
154
  "version": null
154
  "version": null
            
155
}
155
}