Design of decision support system to identify crop water need
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-021-03291-w.pdf
Reference18 articles.
1. Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration—guidelines for computing crop water requirements. FAO irrigation and drainage paper 56, p 300 (D05109)
2. Anneketh V et al (2020) IoT and machine learning approaches for automation of farm irrigation system. Proc Comput Sci 167:1250–1257
3. Available Evapotranspiration (2021). http://www.myweather2.com/. Accessed 23 Sept 2018
4. Bartlett AC, Andales AA, Arabi M, Bauder TA (2015) A smartphone app to extend use of a cloud-based irrigation scheduling tool. Comput Electron Agric 111:127–130
5. Bhatnagar V, Poonia RC, Sunda S (2019) State of the art and gap analysis of precision agriculture: a case study of Indian farmers. Int J Agric Environ Inf Syst 10(3):72–92
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