Proximal sensing to estimate potential soil acidity

Authors

DOI:

https://doi.org/10.37779/nt.v25i2.4716

Keywords:

lime, precision agriculture, soil fertility

Abstract

In a precision agriculture evolution, sensors have been promising tools for optimizing data collection, land use and the application of agricultural inputs. Thues, the objective of this work was to assess the potential using pH sensor, composed of two antimony (Sb) electrodes, with the TSM solution adiction to the mensuarment, for estimate the potential acidity of the soil. Sensor evaluations were carried out on static structure in laboratory, to assess measurement methods, evaluating the time for sensor response, the concentration of the TSM solution and the adequaded addition, waiting soil exert its buffering power . To estimate the potential acidity, it was verified that the sensor presents accurate measurements within 15 s of contact with the soil sample. The additions of the diluted solution in a 3:1 ratio (distilled water: TSM) showed less interference in the measurement, compared to the additions of the concentrated solution. This work showed as possible propose for a method that could be reproduced on the field for in situ measurements to estimate potential acidity, with the sensor in 15 s of contact with the soil sample in friable condition and addition of the diluted TSM solution (3:1).

Author Biographies

Nidgia Maria Nicolodi, Universidade Federal de Santa Maria - UFSM

Pós-Graduanda em Engenharia Agrícola - Universidade Federal de Santa Maria.

Sandra Meinen da Cruz, Instituto Federal de Educação, Ciência e Tecnologia do Amapá - IFAP

Instituto Federal de Educação, Ciência e Tecnologia do Amapá.

Daniel Uhry, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul - IFRS (Campus Ibirubá)

Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul.

Ronaldo Serpa da Rosa, Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul - IFRS (Campus Ibirubá)

Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul.

Natália Sornberger Adam, Universidade Federal de Santa Maria - UFSM

Graduanda em Agronomia - Universidade Federal de Santa Maria.

Letícia Guadagnin Vogel, Universidade de São Paulo - USP

Pós-Graduanda em Agronomia - Universidade de São Paulo.

Juliano Dalcin Martins, Universidade Federal de Santa Maria - UFSM

Departamento de Engenharia Rural - Universidade Federal de Santa Maria.

Published

2024-11-27

How to Cite

Nicolodi, N. M., da Cruz, S. M., Uhry, D., da Rosa, R. S., Adam, N. S., Vogel, L. G., & Martins, J. D. (2024). Proximal sensing to estimate potential soil acidity. Disciplinarum Scientia | Naturais E Tecnológicas, 25(2), 289–302. https://doi.org/10.37779/nt.v25i2.4716

Issue

Section

Artigos