Author:
Pradeep M.,Chintamaneni Vijayalakshmi,Anantha Raman G. R.,Srividya A.,Fathima S. M. H. Sithi Shameem,Rajeswaran N.
Publisher
Springer Nature Singapore
Reference14 articles.
1. K. Karandeep, Machine learning: applications in Indian Agriculture. Int. J. Adv. Res. Comput. Commun. Eng. 5(4), 342–344 (2016)
2. Y.J. Kim, R.G. Evans, W.M. Iversen, Remote sensing and control of an irrigation system using a distributed wireless sensor network. IEEE Trans. Instrum. Meas. 57(7), 1379–1387 (2008)
3. T. Talaviya, D. Shah, N. Patel, H. Yagnik, M. Shah, Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides. Artif. Intell. Agric. 4 58–73 (2020). https://doi.org/10.1016/j.aiia.2020.04.002, ISSN 2589-7217
4. K. Varatharajalu, J. Ramprabu, Wireless irrigation system via phone call & SMS. Int. J. Eng. Adv. Technol. 8(2S), 397–401 (2018)
5. A. Gupta, S. Mishra, N. Bokde, K.D. Kulat, Need of smart water systems in India 11, 2216–2223 (2016)