Proceedings :: International Society of Precision Agriculture

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Tenenboim, Y

Silva e Silva, C

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Authors

DE SOUZA Santos, R

Silva e Silva, C

Cornejo Noronha, N

Tanajura Caldeira, C

Soares Cardoso,

de Pinho Alvarez, W

Tenenboim, Y

Edan, Y

Ginzberg, I

Paz Kagan, T

Topics

Remote and Proximal Sensing of Soils and Crops

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Poster

Year

2026

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Filter results2 paper(s) found.
1. Precision Agriculture in Cocoa Production: Evaluating RGB-Derived GNDVI as a Low-Cost Multispectral Proxy in the Brazilian Amazon Cocoa production in the Xingu region of Pará, Brazil, represents the country’s main production hub, accounting for more than 76% of the state’s total output. Despite its economic importance, cocoa management remains largely traditional, with limited adoption of Precision Agriculture (PA) technologies due to the high cost of multispectral sensors and restricted technological access among growers.This study evaluated the seasonal compatibility between mean visible-spectrum reflectance... R.D. Santos, C. Silva E Silva, N. Cornejo Noronha, C. Tanajura Caldeira, . Soares Cardoso, W. De Pinho Alvarez
2. Comparative Evaluation of Combined and Task Specific Detectors for Pomegranate Yield and Fruit Loss Detection Fruit cracking and drop represent major sources of yield loss in pomegranate orchards; however, existing vision-based yield estimation methods focus on counting healthy fruit and do not usually capture losses occurring on-tree and on the orchard floor, thereby constraining their operational relevance. This study evaluates detection strategies for simultaneous yield and loss quantification, with a specific comparison between combined multi class models and task specific single class models. Detection... Y. Tenenboim, Y. Edan, I. Ginzberg, T. Paz Kagan Download paper

Filter results2 paper(s) found.

1. Precision Agriculture in Cocoa Production: Evaluating RGB-Derived GNDVI as a Low-Cost Multispectral Proxy in the Brazilian Amazon

Cocoa production in the Xingu region of Pará, Brazil, represents the country’s main production hub, accounting for more than 76% of the state’s total output. Despite its economic importance, cocoa management remains largely traditional, with limited adoption of Precision Agriculture (PA) technologies due to the high cost of multispectral sensors and restricted technological access among growers.This study evaluated the seasonal compatibility between mean visible-spectrum reflectance... R.D. Santos, C. Silva E Silva, N. Cornejo Noronha, C. Tanajura Caldeira, . Soares Cardoso, W. De Pinho Alvarez

2. Comparative Evaluation of Combined and Task Specific Detectors for Pomegranate Yield and Fruit Loss Detection

Fruit cracking and drop represent major sources of yield loss in pomegranate orchards; however, existing vision-based yield estimation methods focus on counting healthy fruit and do not usually capture losses occurring on-tree and on the orchard floor, thereby constraining their operational relevance. This study evaluates detection strategies for simultaneous yield and loss quantification, with a specific comparison between combined multi class models and task specific single class models. Detection... Y. Tenenboim, Y. Edan, I. Ginzberg, T. Paz Kagan

Download paper