Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)

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Analyzing Agricultural Productivity and Resource Use: An Exploratory Study of Indian Districts

Authors
Nagendra Vernekar1, *, Shrusti Jadhav1, C. R. Pratima1, Srikar Kulkarni1, Vaishali Y. Parab1, Salma S. Shahapur1
1Department of Computer Science and Engineering, KLE Technological University, Dr. M. S. Sheshgiri Campus, Udyambag, Belagavi, Karnataka, India, 590006
*Corresponding author. Email: nagendravernekar06@gmail.com
Corresponding Author
Nagendra Vernekar
Available Online 31 December 2025.
DOI
10.2991/978-94-6463-978-0_57How to use a DOI?
Keywords
Rice Yield; District-Level Analysis; Temporal Trends; Random Forest; Agricultural Predictions; Green Revolution Impact
Abstract

This paper delve deeper and discuss the temporal trend pattern of trends in rice yield in the district level in India between 1966 and 2000. Rice is the main national staple grain and one of the most important elements in food security, nutritional sufficiency, and food subsistence in rural areas. It used a combination of exploratory data analysis, time-series modeling, inferential statistics and machine learning to determine the general geographic trend of yield increase and existing disparities between regions. It was conducted on a Random Forest model with the result of 89 per cent accuracy thus enhancing the strength of yield projection and the credibility of the results. Overall, rice productivity in the country has been on a steady trend of increase with Punjab and Haryana turning out to be agricultural powerhouses. Stagnation in some districts of eastern and central regions on the other hand requires region-based policies and technological interventions on an urgent basis, to narrow the productivity gap.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
Series
Advances in Engineering Research
Publication Date
31 December 2025
ISBN
978-94-6463-978-0
ISSN
2352-5401
DOI
10.2991/978-94-6463-978-0_57How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Nagendra Vernekar
AU  - Shrusti Jadhav
AU  - C. R. Pratima
AU  - Srikar Kulkarni
AU  - Vaishali Y. Parab
AU  - Salma S. Shahapur
PY  - 2025
DA  - 2025/12/31
TI  - Analyzing Agricultural Productivity and Resource Use: An Exploratory Study of Indian Districts
BT  - Proceedings of the 1st Engineering Data Analytics and Management Conference (EAMCON 2025)
PB  - Atlantis Press
SP  - 674
EP  - 687
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-978-0_57
DO  - 10.2991/978-94-6463-978-0_57
ID  - Vernekar2025
ER  -