Strawberry localization in a ridge planting with an autonomous rover

[1]  Santar Pal Singh,et al.  An approach for characterization of infected area in tomato leaf disease based on deep learning and object detection technique , 2022, Eng. Appl. Artif. Intell..

[2]  Yanchao Zhang,et al.  Real-time strawberry detection using deep neural networks on embedded system (rtsd-net): An edge AI application , 2022, Comput. Electron. Agric..

[3]  Won Suk Lee,et al.  Strawberry Maturity Classification from UAV and Near-Ground Imaging Using Deep Learning , 2021, Smart Agricultural Technology.

[4]  Hyongsuk Kim,et al.  A Deep Learning Based Approach for Strawberry Yield Prediction via Semantic Graphics , 2021, International Conference on Control, Automation and Systems.

[5]  Francesco Carlo Morabito,et al.  Image Edge Detection: A New Approach Based on Fuzzy Entropy and Fuzzy Divergence , 2021, International Journal of Fuzzy Systems.

[6]  Venkatesh,et al.  Fine-tuned MobileNet Classifier for Classification of Strawberry and Cherry Fruit Types , 2021, 2021 International Conference on Computer Communication and Informatics (ICCCI).

[7]  Lan Huang,et al.  A smart data-driven rapid method to recognize the strawberry maturity , 2020 .

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

[9]  Pål Johan From,et al.  Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields , 2020, Sensors.

[10]  Yuanyuan Shao,et al.  Assessment of Strawberry Ripeness Using Hyperspectral Imaging , 2020 .

[11]  F. Karray,et al.  Prediction of Strawberry Yield and Farm Price Utilizing Deep Learning , 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

[12]  Yang Yu,et al.  Real-Time Visual Localization of the Picking Points for a Ridge-Planting Strawberry Harvesting Robot , 2020, IEEE Access.

[13]  Mukesh Tripathi,et al.  A role of computer vision in fruits and vegetables among various horticulture products of agriculture fields: A survey , 2020 .

[14]  Michael Mangan,et al.  L*a*b*Fruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks , 2020, Sensors.

[15]  Lars Grimstad,et al.  An autonomous strawberry‐harvesting robot: Design, development, integration, and field evaluation , 2019, J. Field Robotics.

[16]  Dongyue Xiao,et al.  Recognition Method of Mature Strawberry Based on Improved SSD Deep Convolution Neural Network , 2019, BIC-TA.

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

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

[19]  Won Suk Lee,et al.  Strawberry Yield Prediction Based on a Deep Neural Network Using High-Resolution Aerial Orthoimages , 2019, Remote. Sens..

[20]  Aldo von Wangenheim,et al.  Benchmarking Deep Learning Models on Jetson TX2 , 2019 .

[21]  P. From,et al.  Instance Segmentation and Localization of Strawberries in Farm Conditions for Automatic Fruit Harvesting , 2019, IFAC-PapersOnLine.

[22]  Dimitrios Klaoudatos,et al.  Development of an Experimental Strawberry Harvesting Robotic System , 2019, ICINCO.

[23]  Avadesh Meduri,et al.  MangoNet: A deep semantic segmentation architecture for a method to detect and count mangoes in an open orchard , 2019, Eng. Appl. Artif. Intell..

[24]  Pål Johan From,et al.  Electromagnetic Sensing for Non-Destructive Real-Time Fruit Ripeness Detection: Case-Study for Automated Strawberry Picking , 2018, Proceedings.

[25]  Mooi Choo Chuah,et al.  A Strawberry Detection System Using Convolutional Neural Networks , 2018, 2018 IEEE International Conference on Big Data (Big Data).

[26]  Naoshi Kondo,et al.  Detecting greenhouse strawberries (mature and immature), using deep convolutional neural network , 2018, Engineering in Agriculture, Environment and Food.

[27]  Tristan Perez,et al.  Fruit Quantity and Ripeness Estimation Using a Robotic Vision System , 2018, IEEE Robotics and Automation Letters.

[28]  Nay Zar Aung,et al.  A simple and efficient method for automatic strawberry shape and size estimation and classification , 2018, Biosystems Engineering.

[29]  A. T. Tairova,et al.  Calculation of 3D Coordinates of a Point on the Basis of a Stereoscopic System , 2018 .

[30]  Mark Sandler,et al.  MobileNetV2: Inverted Residuals and Linear Bottlenecks , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[31]  James Patrick Underwood,et al.  Deep fruit detection in orchards , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).

[32]  Liang Gong,et al.  Detecting tomatoes in greenhouse scenes by combining AdaBoost classifier and colour analysis , 2016 .

[33]  Tristan Perez,et al.  DeepFruits: A Fruit Detection System Using Deep Neural Networks , 2016, Sensors.

[34]  Taghi M. Khoshgoftaar,et al.  A survey of transfer learning , 2016, Journal of Big Data.

[35]  Yutaka Kaizu,et al.  Two-stage approach for detecting slightly overlapping strawberries using HOG descriptor , 2013 .

[36]  Stefan Kohlbrecher,et al.  A flexible and scalable SLAM system with full 3D motion estimation , 2011, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics.

[37]  Jie Zhao,et al.  An approach based on mean shift and KALMAN filter for target tracking under occlusion , 2009, 2009 International Conference on Machine Learning and Cybernetics.

[38]  Fei-Fei Li,et al.  ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[39]  Shigehiko Hayashi,et al.  Development of a stationary robotic strawberry harvester with picking mechanism that approaches target fruit from below (Part 1) - Development of the end-effector. , 2009 .