Optimised fertiliser suggestion in smart agriculture system based on fuzzy inference rule
Author:
Affiliation:
1. Department of CSE, SRMIST, Chennai, India
Publisher
Informa UK Limited
Subject
Soil Science,Agronomy and Crop Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/09064710.2021.1872695
Reference16 articles.
1. Babu S. 2013. A software model for precision agriculture for small and marginal farmers’, at the International Centre for Free and Open Source Software (ICFOSS) Trivandrum, India.
2. Bang S, Bishnoi R, Chauhan AS, Dixit AK, Chawla I. 2019. Fuzzy logic based crop yield prediction using temperature and rainfall parameters predicted through ARMA, SARIMA, and ARMAX models. 2019 Twelfth International Conference on Contemporary Computing (IC3); Aug. IEEE. p. 1–6.
3. Chitdeshwari T, Santhi R, Radhika K, Sivagnanam S, Hemalatha S, Dey P, Subba Rao A. 2017. GPS and GIS based soil fertility mapping for Cuddalore District of Tamil Nadu. Madras Agric J. 104(7–9):251–257.
4. Diepeveen D, Armstrong L. 2008. Identifying key crop performance traits using data mining World Conference on Agriculture, Information and IT.
5. Crop yield forecasting using fuzzy logic and regression model
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