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DeepFruits: A Fruit Detection System Using Deep Neural Networks
This paper presents a novel approach to fruit detection using deep convolutional neural networks. The aim is to build an accurate, fast and reliable fruit detection system, which is a vital element of an autonomous agricultural robotic platform; it is a key element for fruit yield estimation and aut...
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| Pubblicato in: | Sensors (Basel) |
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| Autori principali: | , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5017387/ https://ncbi.nlm.nih.gov/pubmed/27527168 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s16081222 |
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