Efeito de diferentes taxas de aplicação utilizando aeronave remotamente pilotada na cultura da melancia

Luis Felipe Oliveira Ribeiro; João Victor  Oliveira Ribeiro; Edney  Leandro da Vitória

doi:10.25061/2527-2675/ReBraM/2025.v28i2.2082

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Published: Apr 1, 2025

DOI: https://doi.org/10.25061/2527-2675/ReBraM/2025.v28i2.2082

Keywords:

Veículo Aéreo Não Tripulado, Citrullus lanatus L., Eficiência, ARP, Tecnologia de aplicação Unmanned aerial Vehicle, Citrullus lanatus L., Efficiency, RPA, Application technology Vehículo aéreo no tripulado, Citrullus lanatus L., Eficiencia, APD, RPA, Tecnología de aplicación

Luis Felipe Oliveira Ribeiro

Federal University of Espírito Santo - UFES

João Victor Oliveira Ribeiro

Federal University of Espirito Santo - UFES

Edney Leandro da Vitória

Federal University of Espirito Santo - UFES

Abstract

Watermelon is one of the most cultivated vegetables in the world, however, the productivity and quality of the fruits are influenced due to the constant attack of pests and diseases. In this sense, the use of remotely piloted aircraft becomes a viable alternative. The objective of this study was to evaluate the effect of different application rates (8, 12 and 16 L ha^-1) on the distribution of drops on different watermelon targets using a remotely piloted aircraft. Water-sensitive paper labels were used and placed on the targets of the watermelon tree (adaxial leaf, fruit and apical bud) for data collection. The results indicated that there was an increase in average values, as application rates increased in all watermelon targets, with a significant difference only for the lowest application rate (8.0 L ha^-1). This study demonstrated, for the first time, the feasibility of using ARP in the possible application of phytosanitary products in watermelon cultivation.

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How to Cite

Oliveira Ribeiro, L. F., Oliveira Ribeiro , J. V., & Leandro da Vitória, E. . (2025). Effect of different application rates used by piloted aircraft on watermelon cultivation. Revista Brasileira Multidisciplinar, 28(2), e-20252082. https://doi.org/10.25061/2527-2675/ReBraM/2025.v28i2.2082

Issue

Vol. 28 No. 2 (2025): Fluxo Contínuo

Section

Artigos Originais

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Author Biographies

Luis Felipe Oliveira Ribeiro, Federal University of Espírito Santo - UFES

Student of the Agronomy course at the Federal University of Espírito Santo, São Mateus campus (UFES/CEUNES). He is currently a FAPES scholarship holder for scientific initiation, part of the Agricultural Mechanization and Pesticides Laboratory (LMDA), developing research in the area of Pesticide Application Technology and Agricultural Fertilizers with an emphasis on Remotely Piloted Aircraft.

João Victor Oliveira Ribeiro , Federal University of Espirito Santo - UFES

Student of the Agronomy course at the Federal University of Espírito Santo, São Mateus campus (UFES/CEUNES). Member of the Agricultural Mechanization and Pesticides Laboratory (LMDA).

Edney Leandro da Vitória, Federal University of Espirito Santo - UFES

Graduated in Agricultural Engineering from the Federal University of Viçosa (1997), Master's degree in Agricultural Engineering from the Federal University of Viçosa (1999) and PhD in Agricultural Engineering from the Federal University of Viçosa (2010). Full-time professor at the Federal University of Espírito Santo, Campus São Mateus, Brazil. In teaching, he works as a professor of the disciplines of Mechanics, Engines and Agricultural Machines for the degree in Agronomy and the disciplines of Agricultural Pesticides Application Technology, Precision Agriculture and Neural Networks Applied in Agriculture in the Postgraduate Program in Tropical Agriculture (PPGAT /UFES). Coordinator of PPGAT/UFES (2018/2020; 2020/2022 and 2022/2024). Develops undergraduate and postgraduate research. Ad hoc consultant for the magazines: CERES, Engenharia na Agricultura, Engenharia Agrícola, Coffe Science, Comunicata and Semina. He has experience in the area of Agricultural Engineering, with an emphasis on Agricultural Mechanization, working mainly on the following topics: Performance of agricultural machines and implements, Agricultural Pesticides Application Technology and neural networks applied to precision agriculture.

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