A Multivariate Approach to Determine the Economic Profitability of Sugarcane Production Under Diverse Climatic Conditions in Brazil
Author:
Publisher
Springer Science and Business Media LLC
Subject
Agronomy and Crop Science
Link
http://link.springer.com/content/pdf/10.1007/s12355-020-00854-7.pdf
Reference49 articles.
1. Ateş, C., Ö. Kaymaz, H.E. Kale, and M.A. Tekindal. 2019. Comparison of test statistics of nonnormal and unbalanced samples for multivariate analysis of variance in terms of Type-I error rates. Computational and Mathematical Methods in Medicine 2019: 2173638.
2. Bordonal, R.O., J.L.N. Carvalho, R. Lal, E.B. Figueiredo, B.G. Oliveira, and N. La Scala. 2018. Sustainability of sugarcane production in Brazil: A review. Agronomy for Sustainable Development 38(2): 13.
3. Bordonal, R.O., R. Lal, D.A. Aguiar, E.B. Figueiredo, L.I. Perillo, M. Adami, B.F.T. Rudorff, and N. La Scala. 2015. Greenhouse gas balance from cultivation and direct land use change of recently established sugarcane (Saccharum officinarum) plantation in south-central Brazil. Renewable and Sustainable Energy Reviews 52: 547–556.
4. CANASAT-INPE. 2014. Sugarcane Crop Monitoring in Brazil by Earth Observing Satellite Images. National Institute for Space Research (INPE). http://www.dsr.inpe.br/laf/canasat/en/ . Accessed 22 Sept 2019.
5. Cardozo, N.P., R.O. Bordonal, and N. La Scala. 2016. Greenhouse gas emission estimate in sugarcane irrigation in Brazil: Is it possible to reduce it, and still increase crop yield? Journal of Cleaner Production 112: 3988–3997.
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