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Large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in India

This dataset provides detailed information on rice production practices being applied by farmers during 2018 rainy season in India. Data was collected through computer-assisted personal interview of farmers using the digital platform Open Data Kit (ODK). The dataset, n = 8355, covers eight Indian st...

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Autores principales: Ajay, Anurag, Craufurd, Peter, Kumar, Virender, Samaddar, Arindam, Malik, RK, Sharma, Sachin, Ranjan, Harshit, Singh, AK, Paudel, Gokul, Pundir, Ajay Kumar, Poonia, Shishpal, Kumar, Anurag, Kumar, Pankaj, Singh, Deepak Kumar, Singh, Madhulika, Iftikar, Wasim, Ignatius, Moben, Banik, Narayan, Mohapatra, Bidhan, Sagwal, Pardeep, Yadav, Ashok Kumar, Munshi, Sugandha, Panneerselvam, Peramaiyan, McDonald, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679526/
https://www.ncbi.nlm.nih.gov/pubmed/36426044
http://dx.doi.org/10.1016/j.dib.2022.108625
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author Ajay, Anurag
Craufurd, Peter
Kumar, Virender
Samaddar, Arindam
Malik, RK
Sharma, Sachin
Ranjan, Harshit
Singh, AK
Paudel, Gokul
Pundir, Ajay Kumar
Poonia, Shishpal
Kumar, Anurag
Kumar, Pankaj
Singh, Deepak Kumar
Singh, Madhulika
Iftikar, Wasim
Ignatius, Moben
Banik, Narayan
Mohapatra, Bidhan
Sagwal, Pardeep
Yadav, Ashok Kumar
Munshi, Sugandha
Panneerselvam, Peramaiyan
McDonald, Andrew
author_facet Ajay, Anurag
Craufurd, Peter
Kumar, Virender
Samaddar, Arindam
Malik, RK
Sharma, Sachin
Ranjan, Harshit
Singh, AK
Paudel, Gokul
Pundir, Ajay Kumar
Poonia, Shishpal
Kumar, Anurag
Kumar, Pankaj
Singh, Deepak Kumar
Singh, Madhulika
Iftikar, Wasim
Ignatius, Moben
Banik, Narayan
Mohapatra, Bidhan
Sagwal, Pardeep
Yadav, Ashok Kumar
Munshi, Sugandha
Panneerselvam, Peramaiyan
McDonald, Andrew
author_sort Ajay, Anurag
collection PubMed
description This dataset provides detailed information on rice production practices being applied by farmers during 2018 rainy season in India. Data was collected through computer-assisted personal interview of farmers using the digital platform Open Data Kit (ODK). The dataset, n = 8355, covers eight Indian states, viz., Andhra Pradesh, Bihar, Chhattisgarh, Haryana, Odisha, Punjab, Uttar Pradesh and West Bengal. Sampling frames were constructed separately for each district within states and farmers were selected randomly. The survey was deployed in 49 districts with a maximum of 210 interviews per district. The digital survey form was available on mobile phones of trained enumerators and was designed to minimize data entry errors. Each survey captured approximately 225 variables around rice production practices of farmers’ largest plot starting with land preparation, establishment method, crop variety and planting time through to crop yield. Detailed modules captured fertilizer application, irrigation, weed management, biotic and abiotic stresses. Additional information was gathered on household demographics and marketing. Geo-points were recorded for each surveyed plot with an accuracy of <10 m. This dataset is generated to bridge a data-gap in the national system and generates information about the adoption of technologies, as well as enabling prediction and other analytics. It can potentially be the basis for evidence-based agriculture programming by policy makers.
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spelling pubmed-96795262022-11-23 Large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in India Ajay, Anurag Craufurd, Peter Kumar, Virender Samaddar, Arindam Malik, RK Sharma, Sachin Ranjan, Harshit Singh, AK Paudel, Gokul Pundir, Ajay Kumar Poonia, Shishpal Kumar, Anurag Kumar, Pankaj Singh, Deepak Kumar Singh, Madhulika Iftikar, Wasim Ignatius, Moben Banik, Narayan Mohapatra, Bidhan Sagwal, Pardeep Yadav, Ashok Kumar Munshi, Sugandha Panneerselvam, Peramaiyan McDonald, Andrew Data Brief Data Article This dataset provides detailed information on rice production practices being applied by farmers during 2018 rainy season in India. Data was collected through computer-assisted personal interview of farmers using the digital platform Open Data Kit (ODK). The dataset, n = 8355, covers eight Indian states, viz., Andhra Pradesh, Bihar, Chhattisgarh, Haryana, Odisha, Punjab, Uttar Pradesh and West Bengal. Sampling frames were constructed separately for each district within states and farmers were selected randomly. The survey was deployed in 49 districts with a maximum of 210 interviews per district. The digital survey form was available on mobile phones of trained enumerators and was designed to minimize data entry errors. Each survey captured approximately 225 variables around rice production practices of farmers’ largest plot starting with land preparation, establishment method, crop variety and planting time through to crop yield. Detailed modules captured fertilizer application, irrigation, weed management, biotic and abiotic stresses. Additional information was gathered on household demographics and marketing. Geo-points were recorded for each surveyed plot with an accuracy of <10 m. This dataset is generated to bridge a data-gap in the national system and generates information about the adoption of technologies, as well as enabling prediction and other analytics. It can potentially be the basis for evidence-based agriculture programming by policy makers. Elsevier 2022-09-20 /pmc/articles/PMC9679526/ /pubmed/36426044 http://dx.doi.org/10.1016/j.dib.2022.108625 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Ajay, Anurag
Craufurd, Peter
Kumar, Virender
Samaddar, Arindam
Malik, RK
Sharma, Sachin
Ranjan, Harshit
Singh, AK
Paudel, Gokul
Pundir, Ajay Kumar
Poonia, Shishpal
Kumar, Anurag
Kumar, Pankaj
Singh, Deepak Kumar
Singh, Madhulika
Iftikar, Wasim
Ignatius, Moben
Banik, Narayan
Mohapatra, Bidhan
Sagwal, Pardeep
Yadav, Ashok Kumar
Munshi, Sugandha
Panneerselvam, Peramaiyan
McDonald, Andrew
Large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in India
title Large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in India
title_full Large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in India
title_fullStr Large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in India
title_full_unstemmed Large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in India
title_short Large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in India
title_sort large survey dataset of rice production practices applied by farmers on their largest farm plot during 2018 in india
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679526/
https://www.ncbi.nlm.nih.gov/pubmed/36426044
http://dx.doi.org/10.1016/j.dib.2022.108625
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