Spatial correlation between the chlorophyll index and foliar npk levels in coffee crop

Marco Antonio Zanella; Francelino Augusto  Rodrigues Junior; Emanoel Di Tarso  dos Santos Sousa; Rodrigo  Nogueira Martins; Maria Lúcia  Calijuri

doi:10.25186/.v15i.1765

Authors

Marco Antonio Zanella Universidade Federal de Lavras/UFLA, Departamento de Engenharia Agrícola/DEA, Lavras, MG. https://orcid.org/0000-0001-7306-7976
Francelino Augusto Rodrigues Junior International Maize and Wheat Improvement Center/CIMMYT, Texcoco, México. https://orcid.org/0000-0001-7273-2217
Emanoel Di Tarso dos Santos Sousa Universidade Federal de Viçosa/UFV, Departamento de Engenharia Agrícola, Viçosa, MG. https://orcid.org/0000-0002-8290-899X
Rodrigo Nogueira Martins Universidade Federal de Viçosa/UFV, Departamento de Engenharia Agrícola, Viçosa, MG. https://orcid.org/0000-0002-0265-0889
Maria Lúcia Calijuri Universidade Federal de Viçosa/UFV, Departamento de Engenharia Civil, Viçosa, MG. https://orcid.org/0000-0002-0918-2475

DOI:

https://doi.org/10.25186/.v15i.1765

Abstract

Detection of spatial variability of data that can improve crop management is a key factor for precision agriculture. In agriculture, there is a need for tools to assist farmers in making decisions about the proper nutrient management, aiming their full productive potential. The use of portable and easy-to-use sensors has facilitated the collection of data, as they are more agile and cost-effective. Thus, the SPAD® chlorophyll meter is an alternative to generate the chlorophyll index (CI), which is easily obtainable and non-destructive sampling. In this context, this study aimed to determine the spatial correlations between the CI and nitrogen, phosphorus and potassium (NPK) foliar contents in the coffee crop using geostatistical tools. The CI showed a moderate spatial correlation with N, showing potential to be used in precision coffee farming. Differently, for potassium, the use of CI is not recommended, as they presented the lower spatial correlation. As a tool that performs an indirect measurement, the results should be validated by field measurements to local calibrations.

Key words: Optical sensor; precision agriculture; mapping; geostatistics; Coffea arabica L.

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Spatial correlation between the chlorophyll index and foliar npk levels in coffee crop

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