Data-driven, early-season forecasts of block sugarcane yield for precision agriculture

Author:

Han Si Yang,Bishop Thomas Francis Aloysius,Filippi Patrick

Funder

The University of Sydney

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science

Reference41 articles.

1. Variance inflation factor: as a condition for the inclusion of suppressor variable (s) in regression analysis;Akinwande;Open J. Stat.,2015

2. Comparing management zone maps to address infertility and sodicity in sugarcane fields;Arshad;Soil Tillage Res.,2019

3. Australian Sugar Milling Council (ASMC), 2020. Sugar Industry Summary Statistics. 〈https://asmc.com.au/sugar-industry-overview/statistics/〉 (Accessed 31 March 2020).

4. Bureau of Meteorology (BOM), 2019. Bureau of Meteorology. 〈http://www.bom.gov.au〉 (Accessed 22 October 2019).

5. Bartley, R., Waters, D., Turner, R., Kroon, F., Garzon-Garcia, A., Kuhnert, P., Waterhouse, J., 2017. Scientific Consensus Statement: land use impacts on the Great Barrier Reef water quality and ecosystem condition, Chapter 2: sources of sediment, nutrients, pesticides and other pollutants to the Great Barrier Reef.

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