Ahmad, T., Ahmad, S. and Jamshed, M. 2015. A knowledge based Indian agriculture: With cloud ERP arrangement. In: 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), IEEE, Piscataway, New Jersey. pp. 333-340.

Aravind, K.R., Raja, P. and Ruiz, M.P. 2017. Task-based agricultural mobile robots in arable farming: A review. Span. J. Agric. Res., 15(1), 1-16.

Aubert, B.A., Schroeder, A. and Grimaudo, J. 2012. IT as enabler of sustainable farming: An empirical analysis of farmers’ adoption decision of precision agriculture technology. Decis. Support Syst., 54(1), 510-520

Babu, S.M., Lakshmi, A.J. and Rao, B.T. 2015. A Study on Cloud Based Internet of Things: CloudIoT. In: 2015 Global Conference on Communication Technologies (GCCT), IEEE, Piscataway, New Jersey. pp. 60-65.

Balamurugan, S., Divyabharathi, N., Jayashruthi, K., Bowiya, M., Shermy, R.P. and Shanker, R. 2016. Internet of agriculture: Applying IoT to improve food and farming technology. Int. Res. J. Eng. Technol., 3(10), 713-719.

Bauckhage, C. and Kersting, K. 2013. Data mining and pattern recognition in agriculture. KI-Künstliche Intelligenz, 27(4), 313-324.

Bechar, A. and Edan, Y. 2003. Human-robot collaboration for improved target recognition of agricultural robots. Ind. Rob., 30(5), 432-436.

Bechar, A. and Vigneault, C. 2016. Agricultural robots for field operations: Concepts and components. Biosyst. Eng., 149, 94-111.

Channe, H., Kothari, S. and Kadam, D. 2015. Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing and big-data analysis. Int. J. Comput. Technol. Appl., 6(3), 374-382.

Edan, Y. 1995. Design of an autonomous agricultural robot. Appl. Intell., 5(1), 41-50.

Gill, S.S., Chana, I. and Buyya, R. 2017. IoT based agriculture as a cloud and big data service: The beginning of digital India. J. Organ. End User Comput., 29(4), 1-23.

Gómez-Chabla, R., Real-Avilés, K., Morán, C., Grijalva, P. and Recalde, T. 2019. IoT Applications in Agriculture: A Systematic Literature Review. In: 2nd International Conference on ICTs in Agronomy and Environment. Springer, Cham. pp. 68-76.

Goraya, M.S. and Kaur, H. 2015. Cloud computing in agriculture. HCTL Open Int. J. Technol. Innov. Res., 16, 2321-1814

Guardo, E., Di Stefano, A., La Corte, A., Sapienza, M. and Scatà, M. 2018. A fog computing-based iot framework for precision agriculture. J. Internet Technol., 19(5), 1401-1411

Hameed, I.A., Bochtis, D. and Sørensen, C.A. 2013. An optimized field coverage planning approach for navigation of agricultural robots in fields involving obstacle areas. Int. J. Adv. Rob. Syst., 10(5), 231.

Kajol, R. and Akshay, K.K. 2018. Automated agricultural field analysis and monitoring system using IOT. Int. J. Inf. Eng. Electron. Bus., 11(2), 17.

Kamble, S.S., Gunasekaran, A. and Gawankar, S.A. 2020. Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications. Int. J. Prod. Econ., 219, 179-194.

Ozdogan, B., Gacar, A. and Aktas, H. 2017. Digital agriculture practices in the context of agriculture 4.0. J. Econ. Financ. Account., 4(2), 186-193

Pau, P.K., Kumar, P., Ghosh, M. and Chaterjee, D. 2014. Information systems and networks (ISN): Emphasizing agricultural information networks with a case study of AGRIS. Sch. J. Agric. Vet. Sci., 1(1), 38-41.

Paul, P.K., Kumar, P., Aithal, S., Sinha, R.R. and Saavedra, R. 2013. Information and knowledge requirement for farming and agriculture domain. Int. J. Soft Comput. Bioinform., 4(2), 80-84.

Paul, P.K., Kumar, P., Bhuimalli, A., Baby, P. and Saavedra, R. 2015. Information and communication technology and information: Their role in tea cultivation and marketing in the context of developing countries a theoretical approach. Curr. Trends Biotechnol. Chem. Res., 5(2), 155-161.

Paul, P.K., Kumar, P., Chatterjee, D., Ghosh, M. and Ganguly, J. 2015. Agricultural problems in India requiring solution through agricultural information systems: Problems and prospects in developing countries. Int. J. Inf. Sci. Comput., 2(1), 33-40

Paul, P.K., Kumar, P., Sinha, R.R., Baby, A.B.P., Saavedra, R. and Aremu, B. 2016. Cloud computing and virtualization in agricultural space: A knowledge survey. Palgo J. Agric., 4(2), 202-206.

Pedersen, S.M., Fountas, S., Have, H. and Blackmore, B.S. 2006. Agricultural robots-system analysis and economic feasibility. Precis. Agric., 7(4), 295-308

Reddy, N.V., Reddy, A.V.V., Pranavadithya, S. and Kumar, J.J. 2016. A critical review on agricultural robots. Int. J. Mech. Eng. Technol., 7(4), 183-188

Rezník, T., Charvát, K., Lukas, V., Charvát, K. Jr., Horáková, Š. and Kepka, M. 2015. Open Data Model for (Precision) Agriculture Applications and Agricultural Pollution Monitoring. In: EnviroInfo and ICT for Sustainability. Atlantis Press, Paris.

Sakai, S., Iida, M., Osuka, K. and Umeda, M. 2008. Design and control of a heavy material handling manipulator for agricultural robots. Auton. Rob., 25(3), 189-204

Tanner, H.G., Kyriakopoulos, K.J. and Krikelis, N.I. 2001. Advanced agricultural robots: Kinematics and dynamics of multiple mobile manipulators handling non-rigid material. Comput. Electron. Agric., 31(1), 91-105

TongKe, F. 2013. Smart agriculture based on cloud computing and IOT. J. Converg. Inf. Technol., 8(2), 210-216.

Vougioukas, S., Fountas, S., Blackmore, S. and Tang, L. 2005. Combining reactive and deterministic behaviours for mobile agricultural robots. Oper. Res., 5(1), 153-163.

Yaghoubi, S., Akbarzadeh, N.A., Bazargani, S.S., Bazargani, S.S., Bamizan, M. and Asl, M.I. 2013. Autonomous robots for agricultural tasks and farm assignment and future trends in agro robots. Int. J. Mech. Mechatron. Eng., 13(3), 1-6.