Proceedings :: International Society of Precision Agriculture

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Silva, E.L

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Authors

Silva, E.L

Freitas, E

Secundino, V.C

Gomes, D.G

Rodrigues Moreno, J

Silva, E.L

Freitas, E

G. Gomes, D

Costa G. da Silva, Y

Topics

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Poster

Year

2026

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Filter results2 paper(s) found.
1. Evaluation of Lettuce Image Classification with CNNs under Different NPK Nutritional Conditions The growing global demand for food has driven the development of technologies aimed at increasing productive efficiency in sustainable agricultural systems, such as hydroponics. In this context, proper monitoring of nutrient solutions is essential, particularly for the early detection of nitrogen (N), phosphorus (P), and potassium (K) deficiencies, which directly affect lettuce growth, yield, and quality. Traditional nutritional diagnostic methods often rely on destructive laboratory analyses,... E.L. Silva, E. Freitas, V.C. Secundino, D.G. Gomes Download paper
2. Semantic Segmentation Comparison of Prata Catarina Banana Bunches Using Convolutional Neural Network Models The identification and classification of banana ripening stages are essential for production assessment in large scale plantations, enabling efficient harvest monitoring and ensuring fruit quality for commercialization. This study presents a comparative evaluation of three deep learning architectures applied to the semantic segmentation of Prata Catarina banana bunches, aiming to support automated monitoring systems and decision-making tools for precision agriculture applications. The evaluated... J. Rodrigues Moreno, E.L. Silva, E. Freitas, D. G. Gomes, Y. Costa G. Da Silva Download paper

Filter results2 paper(s) found.

1. Evaluation of Lettuce Image Classification with CNNs under Different NPK Nutritional Conditions

The growing global demand for food has driven the development of technologies aimed at increasing productive efficiency in sustainable agricultural systems, such as hydroponics. In this context, proper monitoring of nutrient solutions is essential, particularly for the early detection of nitrogen (N), phosphorus (P), and potassium (K) deficiencies, which directly affect lettuce growth, yield, and quality. Traditional nutritional diagnostic methods often rely on destructive laboratory analyses,... E.L. Silva, E. Freitas, V.C. Secundino, D.G. Gomes

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2. Semantic Segmentation Comparison of Prata Catarina Banana Bunches Using Convolutional Neural Network Models

The identification and classification of banana ripening stages are essential for production assessment in large scale plantations, enabling efficient harvest monitoring and ensuring fruit quality for commercialization. This study presents a comparative evaluation of three deep learning architectures applied to the semantic segmentation of Prata Catarina banana bunches, aiming to support automated monitoring systems and decision-making tools for precision agriculture applications. The evaluated... J. Rodrigues Moreno, E.L. Silva, E. Freitas, D. G. Gomes, Y. Costa G. Da Silva

Download paper