The effect of data augmentation and network simplification on the image‐based detection of broccoli heads with Mask R‐CNN-Reference-Cited by-同舟云学术

The effect of data augmentation and network simplification on the image‐based detection of broccoli heads with Mask R‐CNN

Published:2020-07-14 Issue:1 Volume:38 Page:85-104
ISSN:1556-4959
Container-title:Journal of Field Robotics
language:en
Short-container-title:J Field Robotics

Author:

Blok Pieter M.¹²^ORCID,Evert Frits K.¹^ORCID,Tielen Antonius P. M.³^ORCID,Henten Eldert J.²^ORCID,Kootstra Gert²^ORCID

Affiliation:

1. Agrosystems Research Wageningen University & Research Wageningen The Netherlands

2. Farm Technology Group Wageningen University & Research Wageningen The Netherlands

3. Greenhouse Horticulture Wageningen University & Research Wageningen The Netherlands

Funder

Tony Wisdom

Publisher

Wiley

Subject

Computer Science Applications,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/rob.21975

Reference35 articles.

1. Abdulla W.(2017).Mask R‐CNN for object detection and instance segmentation on Keras and TensorFlow. Retrieved fromhttps://github.com/matterport/Mask_RCNN

2. AgriConnect. (2019).Vormen van arbeid en loonkosten. Retrieved fromhttps://agriconnect.nl/thema/vormen-van-arbeid-en-loonkosten

3. A high‐resolution, multimodal data set for agricultural robotics: A Ladybird's‐eye view of Brassica;Bender A.;Journal of Field Robotics,2019

4. A field‐tested robotic harvesting system for iceberg lettuce

5. Machine vision for a selective broccoli harvesting robot

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