An analysis of the factors that influence sugarcane yield in Northern Argentina using classification and regression trees
Authors:
- Diego O. FerraroDFDiego O. Ferraro
- Dario E. RiveroDRDario E. Rivero
- Claudio M. GhersaCGClaudio M. Ghersa
- 1 June 2009
- journal article
- Published by Elsevier in Field Crops Research
- Vol. 112 (2-3) , 149-157
Abstract
No abstract availableThis publication has 34 references indexed in Scilit:
- Regional patterns of agricultural land use and deforestation in ColombiaAgriculture, Ecosystems & Environment, 2006
- Variability in regional wheat yields as a function of climate, soil and economic variables: Assessing the risk of confoundingAgriculture, Ecosystems & Environment, 2005
- Ecosystem classification in a flat, highly fragmented region of Indiana, USAForest Ecology and Management, 2005
- Using regression trees to identify the habitat preference of the sea cucumber (Holothuria leucospilota) on Rarotonga, Cook IslandsEcological Modelling, 2003
- Management effects on nitrogen recovery in a sugarcane crop grown in BrazilGeoderma, 2003
- A methodology for analysis of sugarcane productivity trends. I. Analysis across districtsAustralian Journal of Agricultural Research, 2001
- CLASSIFICATION AND REGRESSION TREES: A POWERFUL YET SIMPLE TECHNIQUE FOR ECOLOGICAL DATA ANALYSISEcology, 2000
- Prospects for green cane harvesting and cane residue use in BrazilBiomass and Bioenergy, 1999
- Tree Regression Analysis to Determine Effects of Soil Variability on Sugarcane YieldsSoil Science Society of America Journal, 1999
- Resource use efficiency in agricultureAgricultural Systems, 1992