Abstract
The agriculture sectors play a pivotal role in Indian economy by contributing about 16% of the total GDP. It not only proffers food and raw material but also employment opportunities to a gigantic proportion of the population. But issues concerning crop production, harvest, damage and destruction have been hindering the development. Smart agriculture revolutionizes the crop sector by reorienting the system to ensure food security, agriculture production and income using diverse technology such as IoT, Bigdata, ML and AI. Each of these constantly monitor a myriad of crop production and storage factors, analyze them and help in better decision making. The security and privacy of this information while attained, analyzed and stored is of major concern. The fundamental characteristics of a blockchain make them the most lucrative platform to store valuable data essential for smooth functioning of smart agriculture while safeguarding it. This paper first studies the nitty-gritty of smart agriculture and then establishes how blockchain contributes toward its effective implementation.
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References
T.W. Schultz, Transforming traditional agriculture, in Transforming Traditional Agriculture (1964)
L. Lipper, P. Thornton, B.M. Campbell, T. Baedeker, A. Braimoh, M. Bwalya, R. Hottle, Climate-smart agriculture for food security. Nat. Clim. Change 4(12), 1068–1072 (2014)
S. Nakamoto, A Peer-to-Peer Electronic Cash System. Bitcoin (2008). URL: https://bitcoin.org/bitcoin.pdf
L. Carlozo, What is blockchain? J. Account. 224(1), 29 (2017)
A. Baliga, Understanding blockchain consensus models. Persistent 2017(4), 1–14 (2017)
I.C. Lin, T.C. Liao, A survey of blockchain security issues and challenges. IJ Netw. Secur. 19(5), 653–659 (2017)
A. Kiayias, A. Russell, B. David, R. Oliynykov, Ouroboros: a provably secure proof-of-stake blockchain protocol, in Annual International Cryptology Conference (Springer, Cham, 2017, August), pp. 357–388
H. Auernhammer, Precision farming—the environmental challenge. Comput. Electron. Agric. 30(1–3), 31–43 (2001)
M. Lee, J. Hwang, H. Yoe, Agricultural production system based on IoT, in 2013 IEEE 16th International Conference on Computational Science and Engineering (IEEE, 2013, December), pp. 833–837
H. Channe, S. Kothari, D. Kadam, Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis. Int. J. Comput. Technol. Appl. 6(3), 374–382 (2015)
G.V. Satyanarayana, S.D. Mazaruddin, Wireless sensor based remote monitoring system for agriculture using ZigBee and GPS, in Proceedings of the Conference on Advances in Communication and Control Systems-2013 (Atlantis Press, 2013, April)
G.J. Grenzdörffer, A. Engel, B. Teichert, The photogrammetric potential of low-cost UAVs in forestry and agriculture. Int. Arch. Photogram. Remote Sens. Spatial Inf. Sci. 31(B3), 1207–1214 (2008)
H. Eisenbeiss, A mini unmanned aerial vehicle (UAV): system overview and image acquisition. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci. 36(5/W1), 1–7 (2004)
P. Tripicchio, M. Satler, G. Dabisias, E. Ruffaldi, C.A. Avizzano, Towards smart farming and sustainable agriculture with drones, in 2015 International Conference on Intelligent Environments (IEEE, 2015, July), pp. 140–143
F. Veroustraete, The rise of the drones in agriculture. EC Agric. 2(2), 325–327 (2015)
V. Puri, A. Nayyar, L. Raja, Agriculture drones: a modern breakthrough in precision agriculture. J. Stat. Manage. Syst. 20(4), 507–518 (2017)
S.J. Scherr, S. Shames, R. Friedman, From climate-smart agriculture to climate-smart landscapes. Agric. Food Secur. 1(1), 12 (2012)
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Mukherjee, P., Barik, R.K., Pradhan, C. (2021). Agrochain: Ascending Blockchain Technology Towards Smart Agriculture. In: Bhoi, A.K., Mallick, P.K., Balas, V.E., Mishra, B.S.P. (eds) Advances in Systems, Control and Automations . ETAEERE 2020. Lecture Notes in Electrical Engineering, vol 708. Springer, Singapore. https://doi.org/10.1007/978-981-15-8685-9_5
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