Adisa J. Saka

Dr. Adisa J. Saka


Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
8 November 2025 in Agriengineering
Verified
Journal Article
Open access
PDF file
Aldir Carpes Marques FilhoAldir Carpes Marques Filho
Aldir Carpes Marques Filho
Lucas SantanaLucas Santana
Lucas Santana
Gabriel Araujo e Silva FerrazGabriel Araujo e Silva Ferraz
Gabriel Araujo e Silva Ferraz
RFRafael Oliveira Faria
Rafael Oliveira Faria
ASAdisa J. Saka
Adisa J. Saka
Felipe Oliveira e SilvaFelipe Oliveira e Silva
Felipe Oliveira e Silva
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.