Smart Farming in Gujarat: The Role of Cloud-Based Technology in Boosting Productivity
DOI:
https://doi.org/10.32628/IJSRSET2512305Keywords:
Knowledge and Understanding of Cloud-Based Technology, Sources of Information on Cloud-Based Farming, Perceived Benefits of Cloud-Based FarmingAbstract
This study investigates the role of cloud-based technology in enhancing agricultural productivity in Gujarat, focusing on its potential to drive smart farming practices. With agriculture being a cornerstone of Gujarat’s economy, improving farming efficiency through technological advancements is crucial for ensuring sustainable growth and rural development. The study explores key factors such as infrastructure, policy support, and investment requirements that are vital for the widespread adoption of cloud-based smart farming. Additionally, it examines the awareness levels among farmers regarding cloud computing applications like precision farming, weather forecasting, and resource management. Using a mix of qualitative and quantitative methods, including surveys and statistical analysis, the study identifies significant associations between investment, infrastructure, and policy support factors, and farmers' knowledge, sources of information, and perceptions of the benefits of cloud-based technology. The findings suggest that improving internet connectivity, providing financial incentives, and strengthening government policies can significantly increase the adoption of cloud solutions among farmers. This study not only contributes to understanding the current state of smart farming adoption in Gujarat but also provides actionable insights for policymakers, technology providers, and investors to foster a more technologically empowered agricultural sector. The study highlights the societal importance of cloud-based farming in empowering farmers, enhancing food security, promoting sustainable agricultural practices, and driving rural economic growth.
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Kumar, V., Sharma, K. V., Kedam, N., Patel, A., Kate, T. R., & Rathnayake, U. (2024). A comprehensive review on smart and sustainable agriculture using IoT technologies, Smart Agricultural Technology.
Mitra, S., Agrawal, A., & Joseph, J. J. (2022, October). Cultivating Digital Fields: A Cloud-Centric Blueprint for Stakeholder Engagement in the Indian Agriculture. In International Conference on Information and Communication Technology for Competitive Strategies (pp. 243-252). Singapore: Springer Nature Singapore.
Kumar, R., Yadav, S., Kumar, M., Kumar, J., & Kumar, M. (2020). Artificial intelligence: new technology to improve Indian agriculture. International Journal of Chemical Studies, 8(2), 2999-3005.
Kose, U., Prasath, V. B., Mondal, M., Podder, P., & Bharati, S. (Eds.). (2022). Artificial intelligence and smart agriculture technology. CRC Press.
Ganguly, K., Gulati, A., & von Braun, J. (2017). Innovations spearheading the next transformations in India's agriculture.
Singh, R., Kumar, J., & Nayak, A. (2019). AGROY: creating value through smart farming. Emerald Emerging Markets Case Studies, 9(3), 1-31.
Gahlot, A., & Agarwal, M. (2024, August). Towards Sustainable Agriculture: A Comprehensive Survey on Next Generation Smart Farming. In 2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) (pp. 1148-1154). IEEE.
Chakravarty, P., Pandya, J., Rathod, Y., & Raj, M. (2022). Smart Farming Solution for Prediction and Protection. Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges, 282.
Yadav, A., Thilagam, P., & Singh, S. (2023). Mobile applications for agricultural transformation: Types, impacts, case studies, and recommendations.
Birajdar, V. (2024). Revolutionizing Agriculture with Artificial Intelligence. Journal of Computer Science & Emerging Trends, 1(1), 40-45.
Paul, P. K., Rajesh, R., & Aithal, P. S. (2024). Agricultural informatics: emphasising potentiality and proposed model on innovative and emerging Doctor of Education in Agricultural Informatics program for smart agricultural systems. International Journal of Enterprise Network Management, 15(4), 417-443.
Krishnababu, M. E., Devi, B. R., Soni, A., Panigrahi, C. K., Sudeepthi, B., Rathi, A., & Shukla, A. (2024). A Review on Precision Agriculture Navigating the Future of Farming with AI and IoT. Asian Journal of Soil Science and Plant Nutrition, 10(2), 336-349.
Vekariya, P., Kumari, P., Ghetiya, R., & Kumar, M. S. Empowering Agriculture: IoT for Sustainable Farming Practices. In AI in Agriculture for Sustainable and Economic Management (pp. 119-140). CRC Press.
Tarate, S. B., Patel, N. R., Danodia, A., Pokhariyal, S., & Parida, B. R. (2024). Geospatial technology for sustainable agricultural water management in india—a systematic review. Geomatics, 4(2), 91-123.
Singh, C., Khilari, S. H., & Nair, A. N. (2022). Farming-as-a-service (FAAS) for a sustainable agricultural ecosystem in India: design of an innovative farm management system 4.0. In Digital Transformation and Internationalization Strategies in Organizations (pp. 85-123). IGI Global.
Afaq, S. A., Izhar, S. K., & Srivastava, S. (2023). The IOT Farming Revolution: Enhancing efficiency and sustainability in agriculture. International Journal of Engineering Sciences & Emerging Technologies, 11(2), 160-170.
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