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Fruchtenicht, D.A
Perez, D
Furlan Maggi, M
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Authors
Gonçalves, L.M
Vasconcellos Lopes, B
Gallo, B.B
La Rosa, A
Fruchtenicht, D.A
Miler, C
Silveira, P
Carreno, N.L
Torres Avila, E
Bazzi, C.L
Moro Lumertz, S
CELY BONILLA, E
Furlan Maggi, M
Medeiros, T.A
Perez, D
Schenatto, K
Sobjak, R
Topics
Precision Agriculture for Global Food Security
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Type
Poster
Year
2026
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1. Towards Precision Agriculture with Electrochemical Sensors for Detecting Dopamine in Plants and Fruits

Cathecolamines are essential neurotransmitters that regulate the central nervous system of animals, while also acting as direct modulators in plants, coordinating antioxidant responses and ionic balance regulation. Dopamine (DA) is an essential catecholamine not only for animals but also plays a critical regulatory role in plants, acting as a potent antioxidant and growth modulator under abiotic stresses such as drought and salinity or pathogen attacks and helps neutralize free radicals and... L.M. Gonçalves, B. Vasconcellos Lopes, B.B. Gallo, A. La Rosa, D.A. Fruchtenicht, C. Miler, P. Silveira, N.L. Carreno

2. Automated Detection of Melons (Cucumis melo L.) via Multispectral UAV and Deep Learning in Honduras

Accurate agricultural production estimation is vital for the logistical and financial efficiency of agribusiness. This study proposes an automated melon detection pipeline using a multispectral Unmanned Aerial Vehicle (UAV) and deep learning architectures. The experiment was conducted in Apacilagua, Honduras, during the 2023–2024 season, covering an area of 32.17 ha. Data collection took place between 90 and 100 days after sowing (DAS)—a critical maturation phase—using a DJI... E. Torres Avila, C.L. Bazzi, S. Moro Lumertz, E. Cely Bonilla, M. Furlan Maggi, T.A. Medeiros, D. Perez, K. Schenatto, R. Sobjak