Scinovex
article Open AccessTop 1% cited

Fruit recognition from images using deep learning

Horea MureşanMihai Oltean

Abstract

In this paper we introduce a new, high-quality, dataset of images containing fruits. We also present the results of some numerical experiment for training a neural network to detect fruits. We discuss the reason why we chose to use fruits in this project by proposing a few applications that could use such classifier.

Smart Agriculture and AISpectroscopy and Chemometric AnalysesLeaf Properties and Growth MeasurementComputer scienceArtificial intelligenceClassifier (UML)Artificial neural networkDeep learningDeep neural networksMachine learningPattern recognition (psychology)
Citations
414
FWCI
65.90
field-weighted impact
References
24
Percentile
100%
vs. same field & year
Citations per year
References
Deep learning in neural networks: An overview
Neural Networks · 2014 · 17,774 citations
Active contours without edges
IEEE Transactions on Image Processing · 2001 · 10,250 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.