COMPUTATIONAL METHOD TO FORECAST HARVESTING TIME OF SUGARCANE BASED ON PRECIPITATION AND TEMPERATURE DATA

Authors

  • Angel Martínez-Garza
  • Miguel Angel Martínez-Damián

Keywords:

Saccharum officinarum L., climatology, forecasting, harvest time, IML, SAS

Abstract

This paper describes the use of climatological information (weekly precipitation and temperature) to forecast the most appropriate time for harvesting sugar cane (Saccharum officinarum L.), on the basis of a computational program written in SAS IML. The method is illustrated with data of 38 years in the supplying zone of the sugar cane mills ManteXicoténcatl in Tamaulipas. The most appropiate harvesting times, for periods ranging from 16 to 36 weeks were predicted by the proposed model.

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Published

31-12-1996

Issue

Vol. 30 No. 4 (1996): 1996-oct-dic

Section

Water-Soils-Climate

License

Agrociencia is published every 45 days, in an English format, and it is edited by the Colegio de Postgraduados. Mexico-Texcoco highway Km. 36.5, Montecillo, Texcoco, Estado de México, CP 56264, Telephone (52) 5959284427. www.colpos.mx. Editor-in-Chief: Dr. Fernando Carlos Gómez Merino. Rights Reserved for Exclusive Use: 04-2021-031913431800-203, e-ISSN: 2521-9766, granted by the National Institute for Author Right.