Proceedings :: International Society of Precision Agriculture

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Souza, J

Keisar, O

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Authors

Cohen, Y

Bahat, I

Grünzweig, J.M

Alchanatis , V

Keisar, O

Lidor, G

Goldshtein, E

Netzer, Y

de Sousa, P.M

Galvan, V.A

Souza, J

de Oliveira , R.

Corrêdo, L.D

Pimentel, L.D

Albuquerque, B.C

Nunes, D.N

Oliveira, R.P

Corrêdo, L.D

Peternelli, L

Pedrosa, A.W

Galvan, V.H

Souza, J

Topics

Variable-Rate Irrigation, Drainage Optimization, and Water Management

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Oral

Poster

Year

2026

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Filter results3 paper(s) found.
1. Precision Irrigation and Beyond: A Multi-Step Zoning Approach for Vineyard Water Management and Wine Quality Enhancement Spatial variability in soil moisture, terrain, and vine physiology presents a major challenge for efficient water management in vineyards. Traditional uniform irrigation often fails to address this heterogeneity, limiting both water use efficiency and wine quality. This study investigated spatial and temporal variations in vine water stress over five consecutive growing seasons, and evaluated zone-specific precision agriculture strategies to support improved irrigation and complementary vineyard... Y. Cohen, I. Bahat, J.M. Grünzweig, V. Alchanatis , O. Keisar, G. Lidor, E. Goldshtein, Y. Netzer Download paper
2. Deep Learning Models Applied to Drone Imagery for Counting, Biometry, and Carbon Stock Estimation in Large-scale Macaw Palm (Acrocomia Aculeata) Plantations Macaw palm is a native Brazilian species with significant productive potential, emerging as a premier candidate for the sustainable replacement of oil palm and as a strategic feedstock for sustainable aviation fuel (SAF) and carbon credit markets. However, as the crop is still in the process of domestication and commercial expansion, there is an urgent need for efficient monitoring technologies that enable the identification of superior individuals and the rigorous auditing of carbon stocks across... P.M. De Sousa, V.A. Galvan, J. Souza, R. . De Oliveira , L.D. Corrêdo, L.D. Pimentel, B.C. Albuquerque Download paper
3. Management Zone Delineation for the Optimization of Nitrogen Use Efficiency in Arabica Coffee Crops Precision coffee farming requires efficient methods for Nitrogen (N) management—an input of high cost and environmental impact, whose optimization faces challenges due to the topographical characteristics of regions such as the Zona da Mata in Minas Gerais, Brazil. This study evaluates and compares different dimensionality reduction models for agricultural management zone (MZ) delineation, aiming to maximize nitrogen fertilizer use efficiency in Arabica coffee plantations. A dataset comprising... D.N. Nunes, R.P. Oliveira, L.D. Corrêdo, L. Peternelli, A.W. Pedrosa, V.H. Galvan, J. Souza Download paper

Filter results3 paper(s) found.

1. Precision Irrigation and Beyond: A Multi-Step Zoning Approach for Vineyard Water Management and Wine Quality Enhancement

Spatial variability in soil moisture, terrain, and vine physiology presents a major challenge for efficient water management in vineyards. Traditional uniform irrigation often fails to address this heterogeneity, limiting both water use efficiency and wine quality. This study investigated spatial and temporal variations in vine water stress over five consecutive growing seasons, and evaluated zone-specific precision agriculture strategies to support improved irrigation and complementary vineyard... Y. Cohen, I. Bahat, J.M. Grünzweig, V. Alchanatis , O. Keisar, G. Lidor, E. Goldshtein, Y. Netzer

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2. Deep Learning Models Applied to Drone Imagery for Counting, Biometry, and Carbon Stock Estimation in Large-scale Macaw Palm (Acrocomia Aculeata) Plantations

Macaw palm is a native Brazilian species with significant productive potential, emerging as a premier candidate for the sustainable replacement of oil palm and as a strategic feedstock for sustainable aviation fuel (SAF) and carbon credit markets. However, as the crop is still in the process of domestication and commercial expansion, there is an urgent need for efficient monitoring technologies that enable the identification of superior individuals and the rigorous auditing of carbon stocks across... P.M. De Sousa, V.A. Galvan, J. Souza, R. . De Oliveira , L.D. Corrêdo, L.D. Pimentel, B.C. Albuquerque

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3. Management Zone Delineation for the Optimization of Nitrogen Use Efficiency in Arabica Coffee Crops

Precision coffee farming requires efficient methods for Nitrogen (N) management—an input of high cost and environmental impact, whose optimization faces challenges due to the topographical characteristics of regions such as the Zona da Mata in Minas Gerais, Brazil. This study evaluates and compares different dimensionality reduction models for agricultural management zone (MZ) delineation, aiming to maximize nitrogen fertilizer use efficiency in Arabica coffee plantations. A dataset comprising... D.N. Nunes, R.P. Oliveira, L.D. Corrêdo, L. Peternelli, A.W. Pedrosa, V.H. Galvan, J. Souza

Download paper