Technological Innovations and their Role in Transformation of Agriculture in India: An Analytical Study
DOI:
https://doi.org/10.61841/s26j2a17Keywords:
Agricultural reform, Technology in agriculture, agricultural advancementAbstract
The agrarian sector is a momentous contributor to the Indian economy, with a considerable number of people reliant on it for sustenance. The adoption of technological innovations has played a crucial role in revolutionizing agriculture in India. This study examines the function of technological innovations in the agrarian sector of India with a spotlight on the impact of advancements such as precision farming, genetically modified crops, mobile technology, and blockchain on productivity, profitability, and sustainability. The research has concluded that technological innovations have noticeably enhanced agrarian practices in India by optimizing resource utilization, amplifying yields, and curbing costs. The Green Revolution played a pivotal role in elevating food production, while precision farming has facilitated farmers in diminishing input expenses and improving crop management practices. Genetically modified crops have resulted in increased yields and reduced crop losses due to pests and diseases. Mobile technology has allowed farmers to access real-time information, leading to informed decision-making and increased profits. In general, technological innovations have transformed agriculture in India and will persist in playing a pivotal role in its expansion and advancement.
Downloads
References
1. Byerlee, D., De Janvry, A., & Sadoulet, E. (2009). Agriculture for development:
Toward a new paradigm. Annu. Rev. Resour. Econ., 1(1), 15-31.
2. Deichmann, U., Goyal, A., & Mishra, D. (2016). Will digital technologies transform
agriculture in developing countries?. Agricultural Economics, 47(S1), 21-33.
3. Dharmaraj, V., & Vijayanand, C. (2018). Artificial intelligence (AI) in agriculture.
International Journal of Current Microbiology and Applied Sciences, 7(12), 2122-
2128.
4. Dhanabalan, T., & Sathish, A. (2018). Transforming Indian industries through artificial
intelligence and robotics in industry 4.0. International Journal of Mechanical
Engineering and Technology, 9(10), 835-845.
5. Majumdar, J., Naraseeyappa, S., & Ankalaki, S. (2017). Analysis of agriculture data
using data mining techniques: application of big data. Journal of Big data, 4(1), 20.
6. Singh, N. P. (2016). Application of data warehouse and big data technology in
agriculture in India. no. October, 1-8.
7. Bendre, M. R., Thool, R. C., & Thool, V. R. (2015, September). Big data in precision
agriculture: Weather forecasting for future farming. In 2015 1st International
Conference on Next Generation Computing Technologies (NGCT) (pp. 744-750).
IEEE.
8. Jagannathan, S., & Priyatharshini, R. (2015, July). Smart farming system using sensors
for agricultural task automation. In 2015 IEEE Technological Innovation in ICT for
Agriculture and Rural Development (TIAR) (pp. 49-53). IEEE.
9. Mahendra Dev, S. (2014). Small farmers in India: Challenges and opportunities.
10. Mondal, P., & Basu, M. (2009). Adoption of precision agriculture technologies in India
and in some developing countries: Scope, present status and strategies. Progress in
Natural Science, 19(6), 659-666.
11. Ali, J., & Kumar, S. (2011). Information and communication technologies (ICTs) and
farmers’ decision-making across the agricultural supply chain. International Journal of
Information Management, 31(2), 149-159.
12. Ali, M., & Gupta, S. (2012). Carrying capacity of Indian agriculture: pulse crops.
Current Science, 874-881
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Author
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
