Developing an algorithm to geographically estimate the available time for agricultural field spraying in the state of Mato Grosso do Sul

Authors

  • Igor Mendes Scarpim Universidade Federal de Mato Grosso do Sul
  • Fábio Henrique Rojo Baio Universidade Federal do Mato Grosso do Sul https://orcid.org/0000-0002-9522-0342
  • Rita de Cassia Félix Alvarez Universidade Federal de Mato Grosso do Sul https://orcid.org/0000-0002-1655-9939
  • Ricardo Gava Universidade Federal de Mato Grosso do Sul
  • Paulo Eduardo Teodoro Universidade Federal de Mato Grosso do Sul https://orcid.org/0000-0002-8236-542X
  • Carlos Antonio Silva Junior Universidade do Estado de Mato Grosso https://orcid.org/0000-0002-7102-2077
  • Larissa Pereira Ribeiro Teodoro Universidade Federal de Mato Grosso do Sul https://orcid.org/0000-0002-8121-0119
  • Édipo Silva Freitas Universidade Federal do Mato Grosso do Sul
  • Carlos Roberto Wassolowski Universidade Federal de Mato Grosso do Sul

DOI:

https://doi.org/10.5433/1679-0359.2023v44n2p469

Keywords:

Agricultural pesticides, Soil compaction, Weather conditions.

Abstract

The dimensions of mechanized agricultural systems depend on the edaphoclimatic conditions, crops, and work regimes. This study aimed to geographically estimate the monthly available time and number of favorable hours for agricultural field spraying in the state of Mato Grosso do Sul, Brazil. The meteorological restrictions imposed during unfavorable hours were as follows: ambient temperature above 32 ºC, relative humidity below 50 %, wind speed above 15 km h-1, and volumetric soil humidity above 39 % (equivalent to 90 % of the available water capacity). Mathematical models were then developed considering a period of ten years, which used historical data from the ground monitoring stations of the National Institute of Meteorology within the region. The subsequent algorithm was programmed and installed in a web server to simulate the time required for agricultural field spraying. During the cropping period in the region, there were climatic restrictions on performing agricultural spraying, with relative humidity being the variable with the most significant impact. However, soil moisture conditions restricted the available time for agricultural spraying more than the wind speed, relative air humidity, or ambient temperature.

Author Biographies

Igor Mendes Scarpim, Universidade Federal de Mato Grosso do Sul

M.e Student in the Post-Graduate Program in Agronomy, Universidade Federal do Mato Grosso do Sul, UFMS, Chapadão do Sul, MS, Brazil.

Fábio Henrique Rojo Baio, Universidade Federal do Mato Grosso do Sul

Prof. Dr., CPCS, UFMS, Chapadão do Sul, MS, Brazil.

Rita de Cassia Félix Alvarez, Universidade Federal de Mato Grosso do Sul

Profa. Dra., CPCS, UFMS, Chapadão do Sul, MS, Brazil.

Ricardo Gava, Universidade Federal de Mato Grosso do Sul

Prof. Dr., CPCS, UFMS, Chapadão do Sul, MS, Brazil.

Paulo Eduardo Teodoro, Universidade Federal de Mato Grosso do Sul

Prof. Dr., CPCS, UFMS, Chapadão do Sul, MS, Brazil.

Carlos Antonio Silva Junior, Universidade do Estado de Mato Grosso

Prof. Dr., Department of Geography, Universidade Estadual do Mato Grosso, UNEMAT, Sinop, MT, Brazil,

Larissa Pereira Ribeiro Teodoro, Universidade Federal de Mato Grosso do Sul

Profa. Dra., CPCS, UFMS, Chapadão do Sul, MS, Brazil.

Édipo Silva Freitas, Universidade Federal do Mato Grosso do Sul

M.e Student in the Post-Graduate Program in Agronomy, Universidade Federal do Mato Grosso do Sul, UFMS, Chapadão do Sul, MS, Brazil.

Carlos Roberto Wassolowski, Universidade Federal de Mato Grosso do Sul

M.e Student in the Post-Graduate Program in Agronomy, Universidade Federal do Mato Grosso do Sul, UFMS, Chapadão do Sul, MS, Brazil.

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Published

2023-04-18

How to Cite

Scarpim, I. M., Baio, F. H. R., Alvarez, R. de C. F., Gava, R., Teodoro, P. E., Silva Junior, C. A., … Wassolowski, C. R. (2023). Developing an algorithm to geographically estimate the available time for agricultural field spraying in the state of Mato Grosso do Sul. Semina: Ciências Agrárias, 44(2), 469–484. https://doi.org/10.5433/1679-0359.2023v44n2p469

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