SAGRO-Lite: A Light Weight Agent Based Semantic Model …
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6. Chandra, A., McNamara, K.E., Dargusch, P.: Climate-smart agriculture: perspectives and
framings. Clim. Policy 18(4), 526–541 (2018)
7. Lipper, L., et al.: Climate smart agriculture. Nat. Resour. Manag. Policy 52, 2018 (2018)
8. Salam, A., Shah, S.: Internet of things in smart agriculture: enabling technologies. (2019)
9. Vuran, M.C., et al.: Internet of underground things in precision agriculture: architecture and
technology aspects. Ad Hoc Netw. 81, 160–173 (2018)
10. Keswani, B., et al.: Adapting weather conditions based IoT enabled smart irrigation technique
in precision agriculture mechanisms. Neural Comput. Appl. 31(1), 277–292 (2019)
11. Agoramoorthy, G.: Can India meet the increasing food demand by 2020? Futures 40(5), 503–
506 (2008)
12. Reddy, D.N., Mishra, S. (eds.): Agrarian Crisis in India. Oxford University Press, Oxford
(2010)
13. Walter, A., et al.: Opinion: smart farming is key to developing sustainable agriculture. Proc.
Natl. Acad. Sci. 114(24), 6148–6150 (2017)
14. Kpadonou, R.A.B., et al.: Advancing climate-smart-agriculture in developing drylands: joint
analysis of the adoption of multiple on-farm soil and water conservation technologies in West
African Sahel. Land Use Policy 61, 196–207 (2017)
15. Lakhwani, K., et al.: Development of IoT for smart agriculture a review. In: Emerging Trends
in Expert Applications and Security, pp. 425–432. Springer, Singapore (2019)
16. Bermudez-Edo, M., et al.: IoT-Lite: a lightweight semantic model for the internet
of things. In: 2016 International IEEE Conferences on Ubiquitous Intelligence and
Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress
(UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), IEEE (2016)
17. Jara, A.J., et al.: Semantic web of things: an analysis of the application semantics for the iot
moving towards the iot convergence. Int. J. Web Grid Serv. 10(2–3), 244–272 (2014)
18. Maliappis, M.T.: Applying an agricultural ontology to web-based applications. Int. J. Metadata
Semant. Ontol. 4(1-2), 133–140 (2009)
19. Beck, H.W., Kim, S., Hagan, D.: A crop-pest ontology for extension publications. Proceedings
(2005)
20. Wang, Y., et al.: An ontology-based approach to integration of hilly citrus production
knowledge. Comput. Electron. Agric. 113, 24–43 (2015)
21. Xie, N., Wang, W., Yang, Y.: Ontology-based agricultural knowledge acquisition and application. In: International Conference on Computer and Computing Technologies in Agriculture.
Springer, Boston, MA (2007)
22. Arjun, K.M.: Indian agriculture-status, importance and role in Indian economy. Int. J. Agric.
Food Sci. Technol. 4(4), 343–346 (2013)
23. Reich, D., et al.: Reconstructing Indian population history. Nature 461(7263), 489 (2009)
24. Chaurasia, V.B., Singh, M.: Step towards the improvement of Indian agriculture. In: 14th
Annual Conference, pp. 61 (2018)
25. Bhojani, S.H., Patel, A.R.: Information technology: an arising concept in agriculture sector. J.
Comput. Technol. Appl. 4(1), 23–27 (2019)
26. Kumar, Y., Singh, P.K.: To study the influence of insurance policy on the agriculture field
and Indian economy: concept paper. In: Renewable Energy and its Innovative Technologies,
pp. 13–24. Springer, Singapore (2019)
27. Verma, C., Pandey, R.: Big data representation for grade analysis through Hadoop framework.
In: 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence),
IEEE (2016)
28. Kotwal, A., Ramaswami, B., Wadhwa, W.: Economic liberalization and Indian economic
growth: what’s the evidence?. J. Econ. Lit. 49(4), 1152–99 (2011)
299
5. Luthra, S., et al.: Internet of Things (IoT) in agriculture supply chain management: a developing
country perspective. In: Emerging Markets from a Multidisciplinary Perspective, pp. 209–220.
Springer, Cham (2018)
6. Chandra, A., McNamara, K.E., Dargusch, P.: Climate-smart agriculture: perspectives and
framings. Clim. Policy 18(4), 526–541 (2018)
7. Lipper, L., et al.: Climate smart agriculture. Nat. Resour. Manag. Policy 52, 2018 (2018)
8. Salam, A., Shah, S.: Internet of things in smart agriculture: enabling technologies. (2019)
9. Vuran, M.C., et al.: Internet of underground things in precision agriculture: architecture and
technology aspects. Ad Hoc Netw. 81, 160–173 (2018)
10. Keswani, B., et al.: Adapting weather conditions based IoT enabled smart irrigation technique
in precision agriculture mechanisms. Neural Comput. Appl. 31(1), 277–292 (2019)
11. Agoramoorthy, G.: Can India meet the increasing food demand by 2020? Futures 40(5), 503–
506 (2008)
12. Reddy, D.N., Mishra, S. (eds.): Agrarian Crisis in India. Oxford University Press, Oxford
(2010)
13. Walter, A., et al.: Opinion: smart farming is key to developing sustainable agriculture. Proc.
Natl. Acad. Sci. 114(24), 6148–6150 (2017)
14. Kpadonou, R.A.B., et al.: Advancing climate-smart-agriculture in developing drylands: joint
analysis of the adoption of multiple on-farm soil and water conservation technologies in West
African Sahel. Land Use Policy 61, 196–207 (2017)
15. Lakhwani, K., et al.: Development of IoT for smart agriculture a review. In: Emerging Trends
in Expert Applications and Security, pp. 425–432. Springer, Singapore (2019)
16. Bermudez-Edo, M., et al.: IoT-Lite: a lightweight semantic model for the internet
of things. In: 2016 International IEEE Conferences on Ubiquitous Intelligence and
Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress
(UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), IEEE (2016)
17. Jara, A.J., et al.: Semantic web of things: an analysis of the application semantics for the iot
moving towards the iot convergence. Int. J. Web Grid Serv. 10(2–3), 244–272 (2014)
18. Maliappis, M.T.: Applying an agricultural ontology to web-based applications. Int. J. Metadata
Semant. Ontol. 4(1-2), 133–140 (2009)
19. Beck, H.W., Kim, S., Hagan, D.: A crop-pest ontology for extension publications. Proceedings
(2005)
20. Wang, Y., et al.: An ontology-based approach to integration of hilly citrus production
knowledge. Comput. Electron. Agric. 113, 24–43 (2015)
21. Xie, N., Wang, W., Yang, Y.: Ontology-based agricultural knowledge acquisition and application. In: International Conference on Computer and Computing Technologies in Agriculture.
Springer, Boston, MA (2007)
22. Arjun, K.M.: Indian agriculture-status, importance and role in Indian economy. Int. J. Agric.
Food Sci. Technol. 4(4), 343–346 (2013)
23. Reich, D., et al.: Reconstructing Indian population history. Nature 461(7263), 489 (2009)
24. Chaurasia, V.B., Singh, M.: Step towards the improvement of Indian agriculture. In: 14th
Annual Conference, pp. 61 (2018)
25. Bhojani, S.H., Patel, A.R.: Information technology: an arising concept in agriculture sector. J.
Comput. Technol. Appl. 4(1), 23–27 (2019)
26. Kumar, Y., Singh, P.K.: To study the influence of insurance policy on the agriculture field
and Indian economy: concept paper. In: Renewable Energy and its Innovative Technologies,
pp. 13–24. Springer, Singapore (2019)
27. Verma, C., Pandey, R.: Big data representation for grade analysis through Hadoop framework.
In: 2016 6th International Conference-Cloud System and Big Data Engineering (Confluence),
IEEE (2016)
28. Kotwal, A., Ramaswami, B., Wadhwa, W.: Economic liberalization and Indian economic
growth: what’s the evidence?. J. Econ. Lit. 49(4), 1152–99 (2011)