Methodology to determine the soil sampling grid for precision agriculture in a coffee field

Dyna

Flávio Castro da Silva¹  Gabriel Araújo e Silva Ferraz²  Patricia Ferreira Ponciano Ferraz³  Fábio Moreira da Silva⁴  Marcelo Silva de Oliviera⁵  Rogner Carvalho Avelar⁶ 

[1] Agricultural and Environmental Department, Universidade Federal Fluminense, Passo da Pátria, Brazil;Departamento de Engenharia, Universidade Federal de Lavras;Engineering Department, Universidade Federal de Lavras , Lavras;Engineering Department, Universidade Federal de Lavras;Exact Science Department, Universidade Federal de Lavras;Projeto Educampo Café COOCACER, Cooperativa dos Cafeicultores do Cerrado Monte Carmelo LTDA, Monte Carmelo, Brazil;

关键词: Geostatistics;    spatial variability;    soil fertility;    accuracy index;    precision index;    optimum grid indicator;   

DOI  :  10.15446/dyna.v84n200.52740

来源: DOAJ

【 摘 要 】

The objective of this study was to develop and propose a methodology to evaluate the quality of different sampling grids. In addition, it allows us to choose the sampling grid that better suits one or a set of variables. The structure and magnitude of the spatial dependence were characterized by semivariogram. It allowed us to apply validation techniques that worked as a base to create an index to evaluate the grid quality and to develop an indicator that points out the best sampling grid. To test the proposed methodology, an experiment was performed at the Brejão farm, in Brazil. We have developed and compared twenty sampling grids, which were applied to four soil variables sampled in georeferenced locations. An accuracy index (AI), a precision index (PI) and the optimum grid indicator (OGI) were developed and proposed, which allowed us to choose the best grid among the sampling grids.

【 授权许可】

Unknown