Management zones definition using soil chemical and physical attributes in a soybean area

Engenharia Agrícola

Claudio L. Bazzi²  Eduardo G. Souza¹  Miguel A. Uribe-opazo¹  Lúcia H. P. Nóbrega¹  Davi M. Rocha¹ 

[1] ,Universidade Tecnológica Federal do ParanáMedianeira PR

关键词: Precision agriculture;    spatial variability;    fuzzy clustering;    management zones;    autocorrelation;    cross-correlation;    Agricultura de precisão;    variabilidade espacial;    agrupamento fuzzy;    zonas de manejo;    autocorrelação;    correlação cruzada;   

DOI  :  10.1590/S0100-69162013000500007

来源: SciELO

【 摘 要 】

Several equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significative differences among the management zones.

【 授权许可】

CC BY   
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