Tomato Growth Stage Monitoring for Smart Farm Using Deep Transfer Learning with Machine Learning-based Maturity Grading

Tomato Growth Stage Monitoring for Smart Farm Using Deep Transfer Learning with Machine Learning-based Maturity Grading

The tomato farming industry needs to adopt new ideas in applying the technology for its growth monitoring and main. Machine vision and image processing techniques have become useful in the increasing need for quality inspection of fruits, particularly, tomatoes. This paper deals with the design and...

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Bibliographic Details
Main Authors: Robert G. de Luna, Elmer P. Dadios, Argel A. Bandala, Ryan Rhay P. Vicerra
Format: Article
Language:English
Published: Universitas Brawijaya 2020-01-01
Series:AGRIVITA Journal of Agricultural Science
Subjects:
deep learning
flower and fruit detection
maturity classification
regional-based convolutional neural network
single shot detector
Online Access:https://agrivita.ub.ac.id/index.php/agrivita/article/view/2499

Internet

https://agrivita.ub.ac.id/index.php/agrivita/article/view/2499

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