Remotely Piloted Aircraft Spraying in Coffee Cultivation: Effects of Two Spraying Systems on Drop Deposition

The use of Remotely Piloted Aircraft (RPA) for spraying coffee crops has expanded due to their practicality and cost reduction. This study aimed to evaluate spray rate effects on coffee crops using two RPA (T10 and T20). The study was conducted on a commercial farm with 10-year-old Coffea arabica Catucaí Amarelo. Two aircraft were used, T1 (hydraulic) and T2 (rotary nozzles). The application rates were established at 25 and 50 L ha−1. The application quality was obtained by attaching Water-Sensitive Papers (WSPs) to the upper, middle, and lower parts of coffee trees, inside and outside the plants, in addition to the inter-row areas. The statistical Nested Crossed Design was applied to analyze the dataset for the experimental field with three distinct factors (RPA, application rate, and WSP position) and four replications. WSP position was the most determinant factor across all design effects, followed by RPA. The external layers of leaves received more droplets than internal parts of coffee trees. The WSP position information indicated that no droplets reached the middle interior parts of the plants or underneath them. The inter-row positions (soil) received significantly more drops than the coffee plants, regardless of application rate or RPA. The potential for drift to the soil was high in both applications. The Potential Drift Risks were more significant for RPA T2. Future studies may deepen understanding of the relationship between coverage and specific application models for coffee farming, as traditional application methods require improvements.

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Publication Details

Journal
AgriEngineering
Published
2025-11-08
DOI
https://doi.org/10.3390/agriengineering7110379
Citations
1
Primary Topic
Plant Surface Properties and Treatments
Type
article
Field-Weighted Citation Impact
1.75
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article

Remotely Piloted Aircraft Spraying in Coffee Cultivation: Effects of Two Spraying Systems on Drop Deposition

Felipe O. Silva, Manuela Santos Santana, Anderson Barbosa Evaristo, Gabriel Araújo e Silva Ferraz et al.
1 citations
AgriEngineering
Plant Surface Properties and Treatments
1.75
article

Remotely Piloted Aircraft Spraying in Coffee Cultivation: Effects of Two Spraying Systems on Drop Deposition

Felipe O. Silva, Manuela Santos Santana, Anderson Barbosa Evaristo, Gabriel Araújo e Silva Ferraz, Sérgio Macedo Silva, Josiane Maria da Silva, Lucas Santos Santana, Rafael de Oliveira Faria, Aldir Carpes Marques Filho, Adisa Jamiu Saka, Henrique Canestri Rafael
article en
1 citations

Abstract

The use of Remotely Piloted Aircraft (RPA) for spraying coffee crops has expanded due to their practicality and cost reduction. This study aimed to evaluate spray rate effects on coffee crops using two RPA (T10 and T20). The study was conducted on a commercial farm with 10-year-old Coffea arabica Catucaí Amarelo. Two aircraft were used, T1 (hydraulic) and T2 (rotary nozzles). The application rates were established at 25 and 50 L ha−1. The application quality was obtained by attaching Water-Sensitive Papers (WSPs) to the upper, middle, and lower parts of coffee trees, inside and outside the plants, in addition to the inter-row areas. The statistical Nested Crossed Design was applied to analyze the dataset for the experimental field with three distinct factors (RPA, application rate, and WSP position) and four replications. WSP position was the most determinant factor across all design effects, followed by RPA. The external layers of leaves received more droplets than internal parts of coffee trees. The WSP position information indicated that no droplets reached the middle interior parts of the plants or underneath them. The inter-row positions (soil) received significantly more drops than the coffee plants, regardless of application rate or RPA. The potential for drift to the soil was high in both applications. The Potential Drift Risks were more significant for RPA T2. Future studies may deepen understanding of the relationship between coverage and specific application models for coffee farming, as traditional application methods require improvements.

AgriEngineeringVol. 7(11)
Universidade Federal de Lavras (BR), Universidade Federal dos Vales do Jequitinhonha e Mucuri (BR)
Openalex Percentile: Top 11%
Plant Surface Properties and Treatments
1.75
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