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Yield prediction in banana (Musa sp.) using STELLA model
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Orientador(es)
Resumo(s)
To overcome the challenges encountered in banana cultivation, such as the hig
h cost of
production due to high water consumption by the banana plant, efficient management practices are being
adopted. The use of agricultural forecasting techniques is an alternative that has been gaining attention in
rural areas. One way to manage and
improve agricultural productivity is the use of technologies that allow
the monitoring of production. The implementation of computational tools as software to aid processes,
such as irrigation management, is gradually taking up space in the
agricultural s
ector
. In this light, herein,
the present study aimed to develop a model using STELLA 8.0 software to estimate the growth and
productivity of irrigated banana (
Musa
sp.). For this, the physiological processes and water demand were
calculated using reference evapotranspiration (ET
0
) and culture evapotranspiration (ET
c
) in the first banana
cycle for the climatic conditions of the Jaíba Project (Jaíba
,
M
inas
G
erais Stat
e, Brazil
). The data of the
climatic conditions were obtained from the National Institute of Meteorology. It was verified that the
average monthly ET
0
was 5.78 mm d
ay
-
1
. In addition, the water requirement of the plant corresponded to a
blade equivalent to
65% of ET
0
. The verified productivity was 8.93 t ha
-
1
, which is considered adequate for
the simulated conditions. The model responded efficiently to the proposed application and was
characterized as a prognostic tool of reality through simplified represent
ation
Descrição
Palavras-chave
software irrigation management plant growth simulation
Contexto Educativo
Citação
Silva, A. C. B. da, Oliveira, F. G., & Braga, R. N. da F. G. P. (2023). Yield prediction in banana (Musa sp.) using STELLA model. Acta Scientiarum. Agronomy, 45(1), e58947.
Editora
Eduem - Editora da Universidade Estadual de Maringa