AI AND IOT-DRIVEN SOLUTIONS FOR SUSTAINABLE FARMING IN PUNJAB: OVERCOMING FINANCIAL BARRIERS AND ENHANCING RESOURCE EFFICIENCY

Authors

  • Jairaj Sander Research Scholar, Department of computer science and engineering, Punjabi University, Patiala, India
  • Sikander Singh Assistant Professor, Department of Computer Science & Engineering, Punjabi University, Patiala, India

Keywords:

Agriculture, Sustainability, Internet of Things, and Artificial Intelligence.

Abstract

One of the most important industries in the world today is agriculture, which is essential to environmental sustainability, food security, and economic growth. With a growing global population expected to reach nearly 10 billion by 2050, ensuring a steady and reliable food supply is essential for avoiding hunger and malnutrition. Once called as ‘granary of the country’ and ‘bread basket of the country’, the state of Punjab revolutionized the Agro needs and Agro economy of the country, after the green revolution, Punjab, Haryana, and western UP quenched the need for food security and got India independence from the humiliating PL480 scheme.  Punjab contributes 10 - 12 % of rice and 13 - 15 % of wheat in India’s total rice and wheat production despite covering only 1.5 % of the geographical area of the country. After the Green Revolution. People employed in agriculture and agriculture-related fields have drastically come down from 60% to 35-36%, and that is not just because of modernization, urbanization, and diversification rather Many people have lost interest in farming as a result of Punjab's diminishing agricultural economic returns, soil deterioration, and the depletion of natural resources like groundwater. Traditional crops like rice and wheat have yielded stagnant income over time, and the rising labor, fertilizer, and water costs have made farming less profitable. Many farmers in the state suffer from poor and erratic profits as a result. The frequency of farmer suicides in Punjab has jumped since 2015. From nearly 70 suicides a year between 2000 and 2014, the number increased by nearly four times to 263 a year after 2015 (peaking at 323 in 2018).[The India Forum]. Many of the reasons farmers take these extreme steps can be improved with the use of AI and IoT-incorporated farming.  The adoption of advanced technologies like agricultural sensors, drones, GPS, and other integrated devices has rapidly progressed in agriculture. However, in Punjab, most farmers have not embraced these precision agricultural practices. Key reasons include a lack of awareness about these technologies, financial constraints, and other practical barriers that limit farmers' ability to implement modern farming methods. In this paper, writers have addressed the major problems farmers across Punjab are facing and how many of these can be solved using modern technological approaches.

References

Hindustan Times. (2020, May). Punjab farmers struggle with depleting water resources. Hindustan Times.htt ps://www.hindustantimes.com

India Today. (2022, March). Economic burden of water scarcity on Punjab's farmers. India Today.https://www.indiatoday.in

The Economic Times. (2021, April). Rising irrigation costs and water crisis in Punjab. The Economic Times. https://economictimes.indiatimes.com

Singh, S., & Benbi, D.K. (2017). Punjab-Soil Health and Green Revolution: A Quantitative Analysis of Major Soil Parameters. ResearchGate. Retrieved fromwww.researchgate.net

Johl, S.S., &Chibba, I. (2002). Soil Organic Carbon Depletion in Punjab. PAU, Ludhiana.

Nayyar, V.K., & Singh, S.P. (2001). Impact of Micronutrient Deficiencies on Punjab Agriculture. Punjab Agricultural University, Ludhiana.

Benbi, D.K., Brar, M.S., &Chibba, I.M. (2006). Soil Fertility Issues and Solutions in Punjab Agriculture.

Kumar, M., & Singh, R. (2021). Precision Agriculture Using IoT and Machine Learning Techniques for Sustainable Soil Management. International Journal of Agriculture Innovations and Research, 9(3), 219-225.

Awais, M., Naqvi, S.M.Z.A., & Zhang, H. (2023). AI and machine learning for soil analysis: An assessment of sustainable agricultural practices. Bioresource and Bioprocessing, 10, 90.https://doi.org/10.1186/s40643-023-00710-y

Open Access Government. (2023). Harnessing AI for Healthier Soils in Agriculture. Retrieved from www.openaccessgovernment.org/agriculture-harnessing-ai-soil-health

Singh, S., &Bhogal, P.S. (2023). Financial Distress and Farmer Suicides in Punjab: A Review of Causes and Solutions. Punjab Agricultural Economics Research Journal, 15(4), 201-218.

Punjab Farmers’ Commission. (2023). Annual Report on Farmer Indebtedness and Suicide Rates in Punjab.

Choud Sharma, A. (2022). Leveraging AI and IoT for Financial Inclusion in Indian Agriculture. Indian Journal of Agricultural Economics, 77(3), 240-255.

Kaur, P., &Verma, R. (2021). AI-Powered Crop Insurance and Financial Assistance Programs for Punjab Farmers. Agricultural Economics Research Review, 34(2), 183-200.

Singh, R., & Kaur, G. (2022). Economic Impact of Fertilizer Price Increases on Punjab's Farmers: A Regional Analysis. Journal of Agricultural Economics, 40(3), 218-229.

Punjab Farmers’ Commission. (2023). Report on Fertilizer Use and Economic Strain in Punjab Agriculture. Retrieved fromwww.punjabfarmerscommission.org

Kumar, M., &Bhullar, S. (2021). Impact of Rising Input Costs on Punjab's Farming Sector. Indian Journal of Rural Development, 13(2), 159-172.

Kumar, M., & Singh, R. (2021). Precision Agriculture Using IoT and Machine Learning Techniques for Sustainable Soil Management. International Journal of Agriculture Innovations and Research, 9(3), 219-225.

Dutta, T., &Choudhary, S. (2022). AI for Precision Fertilizer Application: A Step Toward Sustainable Agriculture in Punjab. Journal of Agricultural Technology, 15(1), 70-80.

Awais, M., & Naqvi, S.M.Z.A. (2023). AI-Driven Agricultural Credit Scoring Models: Improving Farmer Access to Formal Credit in Punjab. Agricultural Economics Review, 13(2), 115-129.

Kumar, M., & Singh, R. (2022). Barriers to Agricultural Modernization in Punjab: The Role of Technology Access and Knowledge. Indian Journal of Rural Development, 13(2), 134-145.

Kumar, M R. (2022). Barriers to Agricultural Modernization in Punjab: The Role of Technology Access and Knowledge. Indian Journal of Rural Development, 13(2), 134-145.

The Indian Forum. (2023). Challenges in the Adoption of Precision Agriculture Technologies in Punjab. Retrieved from [theindianforum.com

Dutta, T., &Choudhary, S. (2021). Infrastructure and Connectivity Challenges in Deploying IoT in Indian Agriculture. International Journal of Rural Studies, 19(2), 59-73.

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Published

2024-12-29

How to Cite

Jairaj Sander, & Sikander Singh. (2024). AI AND IOT-DRIVEN SOLUTIONS FOR SUSTAINABLE FARMING IN PUNJAB: OVERCOMING FINANCIAL BARRIERS AND ENHANCING RESOURCE EFFICIENCY. Journal Punjab Academy of Sciences, 24, 109–115. Retrieved from https://jpas.in/index.php/home/article/view/108