Proceedings :: International Society of Precision Agriculture

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Beserra, D.V

Schneider, P.S

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Authors

Rodolfo, T.A

Schneider, P.S

Perez, M.A

Mantovan, F.D

Bressan, H.R

Reginatto, A.C

Costa G. da Silva, Y

Freitas, E

Costa, P.S

Beserra, D.V

Gomes, D.G

Topics

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Oral

Poster

Year

2026

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Filter results2 paper(s) found.
1. An Integrated Water–Energy Vulnerability Index for Irrigated Agricultural Regions The growing interdependence between water availability and energy infrastructure has significantly increased the vulnerability of irrigated agricultural regions, particularly under conditions of climate variability, hydrological uncertainty, and seasonal demand peaks. Irrigated production systems simultaneously depend on reliable water supply and stable energy provision, making them particularly sensitive to disruptions in either domain. Although the water–energy nexus literature has advanced... T.A. Rodolfo, P.S. Schneider, M.A. Perez, F.D. Mantovan, H.R. Bressan, A.C. Reginatto Download paper
2. Detection of Banana Bunches and Peduncles in the Prata Catarina Cultivar Using Faster R-CNN With Transfer Learning Banana is one of the most produced and consumed fruits worldwide, being strategic for precision agriculture, especially in applications aimed at intelligent management and automated harvesting. Its economic and social relevance in tropical countries reinforces the need for technological solutions that increase productive efficiency and reduce losses in the field. In this context, the automatic detection of bunches and stalks in a natural environment represents a relevant challenge due to occlusion,... Y. Costa G. Da Silva, E. Freitas, P.S. Costa, D.V. Beserra, D.G. Gomes Download paper

Filter results2 paper(s) found.

1. An Integrated Water–Energy Vulnerability Index for Irrigated Agricultural Regions

The growing interdependence between water availability and energy infrastructure has significantly increased the vulnerability of irrigated agricultural regions, particularly under conditions of climate variability, hydrological uncertainty, and seasonal demand peaks. Irrigated production systems simultaneously depend on reliable water supply and stable energy provision, making them particularly sensitive to disruptions in either domain. Although the water–energy nexus literature has advanced... T.A. Rodolfo, P.S. Schneider, M.A. Perez, F.D. Mantovan, H.R. Bressan, A.C. Reginatto

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2. Detection of Banana Bunches and Peduncles in the Prata Catarina Cultivar Using Faster R-CNN With Transfer Learning

Banana is one of the most produced and consumed fruits worldwide, being strategic for precision agriculture, especially in applications aimed at intelligent management and automated harvesting. Its economic and social relevance in tropical countries reinforces the need for technological solutions that increase productive efficiency and reduce losses in the field. In this context, the automatic detection of bunches and stalks in a natural environment represents a relevant challenge due to occlusion,... Y. Costa G. Da Silva, E. Freitas, P.S. Costa, D.V. Beserra, D.G. Gomes

Download paper