Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/28835
metadata.artigo.dc.title: Definition of management zones in coffee production fields based on apparent soil electrical conductivity
metadata.artigo.dc.creator: Valente, Domingos Sárvio Magalhães
Queiroz, Daniel Marçal de
Pinto, Francisco de Assis de Carvalho
Santos, Nerilson Terra
Santos, Fábio Lúcio
metadata.artigo.dc.subject: Coffea Arabica L.
Geostatistics
Fuzzy k-means
Soil sensors
metadata.artigo.dc.publisher: Escola Superior de Agricultura "Luiz de Queiroz"
metadata.artigo.dc.date.issued: 2012
metadata.artigo.dc.identifier.citation: VALENTE, D. S. M. et al. Definition of management zones in coffee production fields based on apparent soil electrical conductivity. Scientia Agricola, Piracicaba, v. 69, n. 3, p. 173-179, May/June 2012.
metadata.artigo.dc.description.abstract: Fertilizer application at variable rates requires dense sampling to determine the resulting field spatial variability. Defining management zones is a technique that facilitates the variable-rate application of agricultural inputs. The apparent electrical conductivity of the soil is an important factor in explaining the variability of soil physical-chemical properties. Thus, the objective of this study was to define management zones for coffee (Coffea Arabica L.) production fields based on spatial variability of the apparent electrical conductivity of the soil. The resistivity method was used to measure the apparent soil electrical conductivity. Soil samples were collected to measure the chemical and physical soil properties. The maps of spatial variability were generated using ordinary kriging method. The fuzzy k-means algorithm was used to delimit the management zones. To analyze the agreement between the management zones and the soil properties, the kappa coefficients were calculated. The best results were obtained for the management zones defined using the apparent electrical conductivity of the soil and the digital elevation model. In this case, the kappa coefficient was 0.45 for potassium, which is an element that is associated with quality coffee. The other variable that had a high kappa coefficient was remaining phosphorous; the coefficient obtained was 0.49. The remaining phosphorus is an important parameter for determining which fertilizers and soil types to study.
metadata.artigo.dc.identifier.uri: http://repositorio.ufla.br/jspui/handle/1/28835
metadata.artigo.dc.language: en_US
Appears in Collections:DEG - Artigos publicados em periódicos



This item is licensed under a Creative Commons License Creative Commons