Proceedings :: International Society of Precision Agriculture

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Neudorf, S

NUNES, V.M

Nascimbem Ferraz, M

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Authors

Nketia, K

Lotfi, A

Neudorf, S

Ha, T

Khan, A

Otterson, J

NUNES, V.M

Hurtado, S.M

Almeida, I

, A

Siquieroli, W.G

Cândido, G.P

Lazzarini, L.V

Topics

UAV-Based Scouting, Imaging, and Targeted Applications

Precision Agriculture for Sustainability and Environmental Protection

Type

Oral

Poster

Year

2026

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Filter results2 paper(s) found.
1. Autonomous Edge-AI–Enabled Drone Systems for Real-Time Agricultural Inference and Decision-Making High-throughput, low-latency phenotyping and field surveillance remain critical bottlenecks in precision agriculture and environmental monitoring due to delayed data turnaround, large data volumes, computationally intensive preprocessing, and expertise-heavy analysis workflows. These constraints hinder timely crop improvement, pest and disease management, and informed agronomic decision-making. To address these challenges, we present an integrated, end-to-end autonomous drone system that enables...
2. Spatial Analysis of Physical and Sensory Attributes of Coffee Beans Arabica coffee (Coffea arabica L.) is one of the crops with the greatest economic and social relevance in Brazil, with beverage quality being a differential of broad commercial value. This study aimed to evaluate the spatial variability of the physical and sensory attributes of coffee beans. The study was conducted during the 2023-24 crop season in a 27-hectare plot belonging to Fazenda Mandaguari, in Indianópolis, Minas Gerais, cultivated with the Topázio cultivar under... V.M. Nunes, S.M. Hurtado, I. Almeida, A. , W.G. Siquieroli, G.P. Cândido, L.V. Lazzarini Download paper

Filter results2 paper(s) found.

1. Autonomous Edge-AI–Enabled Drone Systems for Real-Time Agricultural Inference and Decision-Making

High-throughput, low-latency phenotyping and field surveillance remain critical bottlenecks in precision agriculture and environmental monitoring due to delayed data turnaround, large data volumes, computationally intensive preprocessing, and expertise-heavy analysis workflows. These constraints hinder timely crop improvement, pest and disease management, and informed agronomic decision-making. To address these challenges, we present an integrated, end-to-end autonomous drone system that enables...

2. Spatial Analysis of Physical and Sensory Attributes of Coffee Beans

Arabica coffee (Coffea arabica L.) is one of the crops with the greatest economic and social relevance in Brazil, with beverage quality being a differential of broad commercial value. This study aimed to evaluate the spatial variability of the physical and sensory attributes of coffee beans. The study was conducted during the 2023-24 crop season in a 27-hectare plot belonging to Fazenda Mandaguari, in Indianópolis, Minas Gerais, cultivated with the Topázio cultivar under... V.M. Nunes, S.M. Hurtado, I. Almeida, A. , W.G. Siquieroli, G.P. Cândido, L.V. Lazzarini

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