Multi-network fusion algorithm with transfer learning for green cucumber segmentation and recognition under complex natural environment

Soft grasping mechanism of human fingers for tomato-picking bionic robots

(2021) Zhongliang Hou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A mango picking vision algorithm on instance segmentation and key point detection from RGB images in an open orchard

(2021) Chan Zheng et al.   BIOSYSTEMS ENGINEERING

Automatic cucumber recognition algorithm for harvesting robots in the natural environment using deep learning and multi-feature fusion

(2020) Shihan Mao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Passion fruit detection and counting based on multiple scale faster R-CNN using RGB-D images

(2020) Shuqin Tu et al.   PRECISION AGRICULTURE

L*a*b*Fruits: A Rapid and Robust Outdoor Fruit Detection System Combining Bio-Inspired Features with One-Stage Deep Learning Networks

(2020) Raymond Kirk et al.   SENSORS

Using color and 3D geometry features to segment fruit point cloud and improve fruit recognition accuracy

(2020) Gang Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

State-of-the-art robotic grippers, grasping and control strategies, as well as their applications in agricultural robots: A review

(2020) Baohua Zhang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting

(2020) Hanwen Kang et al.   SENSORS

Grasping behavior of the human hand during tomato picking

(2020) Jianing Wang et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep learning based real-time Industrial framework for rotten and fresh fruit detection using semantic segmentation

(2020) Kyamelia Roy et al.   MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS

Apple detection during different growth stages in orchards using the improved YOLO-V3 model

(2019) Yunong Tian et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Color-, depth-, and shape-based 3D fruit detection

(2019) Guichao Lin et al.   PRECISION AGRICULTURE

Deep learning – Method overview and review of use for fruit detection and yield estimation

(2019) Anand Koirala et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Fruit detection for strawberry harvesting robot in non-structural environment based on Mask-RCNN

(2019) Yang Yu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Immature citrus fruit detection based on local binary pattern feature and hierarchical contour analysis

(2018) Jun Lu et al.   BIOSYSTEMS ENGINEERING

U-Net: deep learning for cell counting, detection, and morphometry

(2018) Thorsten Falk et al.   NATURE METHODS

Introducing new shape features for classification of cucumber fruit based on image processing technique and artificial neural networks

(2017) Kamran Kheiralipour et al.   JOURNAL OF FOOD PROCESS ENGINEERING

Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

(2017) Yu-Dong Zhang et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Multi-template matching algorithm for cucumber recognition in natural environment

(2016) Guanjun Bao et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning

(2016) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepFruits: A Fruit Detection System Using Deep Neural Networks

(2016) Inkyu Sa et al.   SENSORS

Sensors and systems for fruit detection and localization: A review

(2015) A. Gongal et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Automatic method of fruit object extraction under complex agricultural background for vision system of fruit picking robot

(2014) Xiangqin Wei et al.   OPTIK

Ripening indices and harvesting times of different olive cultivars for continuous harvest

(2013) Salvatore Camposeo et al.   SCIENTIA HORTICULTURAE

A Survey on Transfer Learning

(2009) Sinno Jialin Pan et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION