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convolutional neural networks

A convolutional neural network (CNN) is a type of feedforward neural network that learns features via filter (or kernel) optimization. This type of deep learning network has been applied to process and make predictions from many different types of data including text, images and audio.

neural networks

Used in deep learning-based approaches to computer vision and image processing. In agriculture and food security, convolutional neural networks are vital tools used to automate tasks such as monitoring crop health, harvest estimation, disease and pest detection, wildlife and weed detection, classifying soil types, land cover mapping, and tracking animal behaviour.

español

Creado

2026-06-09T07:27:14

void:inDataset

http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc

skos:notation

7d48787b

Red neuronal de convolución

francés

Creado

2026-06-09T07:27:14

void:inDataset

http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc

skos:notation

7d48787b

réseau de neurones à convolution

portugués

Creado

2026-06-09T07:35:22

void:inDataset

http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc

skos:notation

7d48787b

rede neural convolucional
Creado

2026-06-09T07:27:16

void:inDataset

http://aims.fao.org/aos/agrovoc/void.ttl#Agrovoc

skos:notation

1da1d2f8

rede neural convolutiva

URI

http://aims.fao.org/aos/agrovoc/c_7d48787b

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Creado 6/9/26, 07:01, última modificación 10/7/26, 09:13