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Abstract. Computer vision methods based on convolutional neural networks (CNNs) have presented promising results on image-based fruit detection at ground-level for different crops. However, the integr... ...

Repository: BDPA     Publication year: 2021

Abstract: The analysis of volatiles is an alternative in the routine of quality control of fruits, since the volatile metabolites can change in the presence of microorganisms. A well-established metho... ...

Repository: BDPA     Publication year: 2020

RESUMO - Neste trabalho investigamos técnicas de detecção de objetos por redes neurais aplicadas à detecção de frutos em viticultura. Desenvolvemos também a base de dados Embrapa WGISD, composta por i... ...

Repository: BDPA     Publication year: 2019

Ochratoxin A (OTA) is a mycotoxin that can contaminate food and is produced by fungal species such as Aspergillus carbonarius, Penicillium verrucosum, Aspergillus ochraceus, and Aspergillus niger [1].... ...

Repository: BDPA     Publication year: 2024

In this paper, we assess the effectiveness of various machine learning regressors for yield forecasting based on fruit detection in images captured within the orchard

Repository: BDPA     Publication year: 2023

As a first step towards understanding the physiological role and regulation of the expansin gene (EXP) family in Coffea arabica fruits during growth and maturation, we identified 11 expansin genes, ni... ...

Repository: BDPA     Publication year: 2011

Since its detection in Brazil in 1901, the Mediterranean fruit fly, Ceratitis capitata (Wiedemann, 1824) has continuously extended its occurrence in Brazil. The last Brazilian states in the North regi... ...

Repository: BDPA     Publication year: 2024

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