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Original Article
An AI and Blockchain Enabled Platform for Transparent Contract Farming in India
Shreya Ghodmare1
Bhumika Kuditipudi2
Shantanu Mangalkar3
Vrushabh Shende4
Manthan Shirke5
Vedanti Tulsakar, Kapil Tabhane6
1 2 3 4 6 7 Department of Information Technology, SVPCET, Nagpur, Maharashtra, India. 5 Department of Computer Engineering, SVPCET, Nagpur, Maharashtra, India.
Published Online: January-April 2026
Pages: 313-316
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260501043References
1. L. Klerkx, E. Jakku and P. Labarthe, "A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions
and a future research agenda," NJAS – Wageningen Journal of Life Sciences, vol. 90, 2019.
2. S. P, "Rural infrastructure and growth: an overview," Indian Journal of Agricultural Economics, vol. 62, no. 1, 2007.
3. T. Itoh, H. Ishii and T. Nanseki, "A model of crop planning under uncertainty in agricultural management.,"
4. International Journal of Production Economics, vol. 81, pp. 555-558, 2003.
5. D. Chaubey, V. Prakash, A. Patel and T. Yadav, "Role of agro-meteological advisory services on risk mitigation in agriculture.,"
International Journal of Pure & Applied Bioscience, vol. 6, pp. 27-32, 2018.
6. X. Wang, C. Folberth, R. Skalsky, S. Wang, B. Chen, Y. Liu, J. Chen and J. Balkovic, "Crop calendar optimization for climate change
adaptation in rice-based multiple cropping systems of India and Bangladesh," Agricultural and Forest Meteorology, vol. 315, 202.
7. B. W. Ilbery, "Agricultural decision-making: a behavioural perspective.," Progress in Human Geography, vol. 2, no. 3, pp. 448-466, 1978.
8. K. Bounnady, P. Sibounnavong, K. Chanthavong and S. Saypadith, "Smart crop cultivation monitoring system by using IoT.," 5th
International Conference on Engineering, Applied Sciences and Technology (ICEAST), pp. 1-3, 2019.
9. P. Lakkakula, D. W. Bullock and W. W. Wilson, "Asymmetric information and blockchains in soybean commodity markets," Applied
Economic Perspectives and Policy, vol. 44, no. 1, p. 273–298, 2022.
10. D. Ren, B. Engel and M. R. Tuinstra, "Crop improvement influences on water quantity and quality processes in an agricultural watershed,"
Water Research, vol. 217, 2022.
and a future research agenda," NJAS – Wageningen Journal of Life Sciences, vol. 90, 2019.
2. S. P, "Rural infrastructure and growth: an overview," Indian Journal of Agricultural Economics, vol. 62, no. 1, 2007.
3. T. Itoh, H. Ishii and T. Nanseki, "A model of crop planning under uncertainty in agricultural management.,"
4. International Journal of Production Economics, vol. 81, pp. 555-558, 2003.
5. D. Chaubey, V. Prakash, A. Patel and T. Yadav, "Role of agro-meteological advisory services on risk mitigation in agriculture.,"
International Journal of Pure & Applied Bioscience, vol. 6, pp. 27-32, 2018.
6. X. Wang, C. Folberth, R. Skalsky, S. Wang, B. Chen, Y. Liu, J. Chen and J. Balkovic, "Crop calendar optimization for climate change
adaptation in rice-based multiple cropping systems of India and Bangladesh," Agricultural and Forest Meteorology, vol. 315, 202.
7. B. W. Ilbery, "Agricultural decision-making: a behavioural perspective.," Progress in Human Geography, vol. 2, no. 3, pp. 448-466, 1978.
8. K. Bounnady, P. Sibounnavong, K. Chanthavong and S. Saypadith, "Smart crop cultivation monitoring system by using IoT.," 5th
International Conference on Engineering, Applied Sciences and Technology (ICEAST), pp. 1-3, 2019.
9. P. Lakkakula, D. W. Bullock and W. W. Wilson, "Asymmetric information and blockchains in soybean commodity markets," Applied
Economic Perspectives and Policy, vol. 44, no. 1, p. 273–298, 2022.
10. D. Ren, B. Engel and M. R. Tuinstra, "Crop improvement influences on water quantity and quality processes in an agricultural watershed,"
Water Research, vol. 217, 2022.
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