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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Site-specific assessment of spatial and temporal variability of sugarcane yield related to soil attributes

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Author(s):
Sanches, Guilherme M. [1, 2] ; Graziano Magalhaes, Paulo S. [1] ; Junqueira Franco, Henrique C. [2]
Total Authors: 3
Affiliation:
[1] Univ Estadual Campinas, UNICAMP, PhD Program Bioenergy, Interdisciplinary Ctr Energy Planning, BR-13083896 Campinas, SP - Brazil
[2] CROPMAN Agr Inovat, BR-13080650 Campinas, SP - Brazil
Total Affiliations: 2
Document type: Journal article
Source: Geoderma; v. 334, p. 90-98, JAN 15 2019.
Web of Science Citations: 1
Abstract

The adoption of information technology (IT) and precision agriculture (PA) has converted agricultural fields into data sources. However, the transformation of data into knowledge for decision making remains a major challenge. In the Brazilian sugarcane industry, the current use of PA technology is very far from its full potential for site -specific management, mainly because yields are not temporally or spatially monitored. The objective of the present study was to investigate the relationship between the physical and chemical properties of soils and sugarcane yield, thereby identifying the soil parameters that determine the final productivity of the field. Two sugarcane fields were monitored from 2011 to 2014. During the crop season, soil samples and yield data were collected annually. A random forest algorithm was applied to investigate the influence of different soil attributes on yield using data that were collected spatially over the study period. The results showed that the amount of available soil organic matter (OM), clay content and cation exchange capacity (CEC) are important factors impacting sugarcane yield variation. Furthermore, it was found that the temporal variability in yield is caused mainly by the variability in soil pH over the study period. The results indicated that when OM increased over time, there was greater phosphorus availability. Large volumes of spatial and temporal data, together with data mining techniques, allowed the extraction of knowledge and the creation of specific management zones in the field to support the decision-making process for producers. (AU)

FAPESP's process: 14/14965-0 - Contribution of Precision Agriculture technology on the sustainability of sugar cane production for energy
Grantee:Paulo Sergio Graziano Magalhães
Support Opportunities: Regular Research Grants
FAPESP's process: 08/09265-9 - Analisis and modelling of influence of soil and plant attributes on sugar cane yield and quality
Grantee:Paulo Sergio Graziano Magalhães
Support Opportunities: Regular Research Grants
FAPESP's process: 15/01587-0 - Storage, modeling and analysis of dynamical systems for e-Science applications
Grantee:João Eduardo Ferreira
Support Opportunities: Research Grants - eScience and Data Science Program - Thematic Grants
FAPESP's process: 13/50942-2 - Applied multispectral reflectance spectroscopy for prediction of soil chemical properties to use in sugarcane precision agriculture
Grantee:Paulo Sergio Graziano Magalhães
Support Opportunities: Program for Research on Bioenergy (BIOEN) - Regular Program Grants