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10.5194/isprs-archives-xlii-3-w8-1-2019

The proposed methodology consists in the use of Convolutional Neural Networks (CNNs) to classify and segment the chestnut fruits, considering a small dataset acquired based on digital terrestrial camera.

MULTI-PURPOSE CHESTNUT CLUSTERS DETECTION USING DEEP LEARNING: A PRELIMINARY APPROACH

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10.3390/f10111016

The inoculation results showed that the tested fungal species is pathogenic to chestnut fruits.

An Emerging Pathogen from Rotted Chestnut in China: Gnomoniopsis daii sp. nov.

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10.1080/19476337.2019.1579757

Nevertheless, the knowledge of impact of Silicon application in the production, sensory quality and chemical composition of chestnut fruits is limited.

Productivity, chemical composition and sensory quality of “Martaínha” chestnut variety treated with Silicon

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Chestnut Fruits
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What is/are Chestnut Fruits?

Chestnut Fruits - The proposed methodology consists in the use of Convolutional Neural Networks (CNNs) to classify and segment the chestnut fruits, considering a small dataset acquired based on digital terrestrial camera. [1] The inoculation results showed that the tested fungal species is pathogenic to chestnut fruits. [2] Nevertheless, the knowledge of impact of Silicon application in the production, sensory quality and chemical composition of chestnut fruits is limited. [3]