A new deep-learning strawberry instance segmentation methodology based on a fully convolutional neural network

[1]  M. Bhavana.  AGROBOT , 2021, International Journal for Research in Applied Science and Engineering Technology.

[2]  Estefanía Cortés-Ancos,et al.  A fast and accurate deep learning method for strawberry instance segmentation , 2020, Comput. Electron. Agric..

[3]  J. Champ,et al.  Instance segmentation for the fine detection of crop and weed plants by precision agricultural robots , 2020, Applications in plant sciences.

[4]  Changying Li,et al.  Deep learning image segmentation and extraction of blueberry fruit traits associated with harvestability and yield , 2020, Horticulture Research.

[5]  Angel D. Sappa,et al.  Deep Learning based Corn Kernel Classification , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

[6]  Marco Mora,et al.  A Review of Convolutional Neural Network Applied to Fruit Image Processing , 2020, Applied Sciences.

[7]  Yuyu Tian,et al.  Detection and segmentation of overlapped fruits based on optimized mask R-CNN application in apple harvesting robot , 2020, Comput. Electron. Agric..

[8]  Zhe Wang,et al.  Instance segmentation of apple flowers using the improved mask R–CNN model , 2020 .

[9]  Josep Ramon Morros,et al.  Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry , 2020, Comput. Electron. Agric..

[10]  Pål Johan From,et al.  Fruit Localization and Environment Perception for Strawberry Harvesting Robots , 2019, IEEE Access.

[11]  Dean Zhao,et al.  Cucumber Fruits Detection in Greenhouses Based on Instance Segmentation , 2019, IEEE Access.

[12]  Juan E. Tapia,et al.  Deepblueberry: Quantification of Blueberries in the Wild Using Instance Segmentation , 2019, IEEE Access.

[13]  Yang Yu,et al.  Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN , 2019, Comput. Electron. Agric..

[14]  Thiago T. Santos,et al.  Grape detection, segmentation and tracking using deep neural networks and three-dimensional association , 2019, Comput. Electron. Agric..

[15]  Thomas Brox,et al.  Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).

[16]  Denis Fernando Wolf,et al.  Distance to Center of Mass Encoding for Instance Segmentation , 2017, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

[17]  Ross B. Girshick,et al.  Mask R-CNN , 2017, 1703.06870.

[18]  Kaiming He,et al.  Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Thomas Brox,et al.  U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.

[20]  Jian Sun,et al.  Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[21]  Pietro Perona,et al.  Microsoft COCO: Common Objects in Context , 2014, ECCV.

[22]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[23]  Siddhartha S. Mehta,et al.  Deep Orange: Mask R-CNN based Orange Detection and Segmentation , 2019, IFAC-PapersOnLine.

[24]  Guigang Zhang,et al.  Deep Learning , 2016, Int. J. Semantic Comput..

[25]  Geoffrey E. Hinton,et al.  Deep Learning , 2015 .

[26]  Christopher K. I. Williams,et al.  International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge , 2022 .