Related references
Note: Only part of the references are listed.The forecasting of consumer exchange-traded funds (ETFs) via grey relational analysis (GRA) and artificial neural network (ANN)
Maya Malinda et al.
EMPIRICAL ECONOMICS (2022)
ATSS Deep Learning-Based Approach to Detect Apple Fruits
Leonardo Josoe Biffi et al.
REMOTE SENSING (2021)
Detection of a Potato Disease (Early Blight) Using Artificial Intelligence
Hassan Afzaal et al.
REMOTE SENSING (2021)
A comparative study of fruit detection and counting methods for yield mapping in apple orchards
Nicolai Hani et al.
JOURNAL OF FIELD ROBOTICS (2020)
Fast implementation of real-time fruit detection in apple orchards using deep learning
Hanwen Kang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry
Jordi Gene-Mola et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Fruit detection, segmentation and 3D visualisation of environments in apple orchards
Hanwen Kang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Petri-net-based dynamic scheduling of flexible manufacturing system via deep reinforcement learning with graph convolutional network
Liang Hu et al.
JOURNAL OF MANUFACTURING SYSTEMS (2020)
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
Thorsten Hoeser et al.
REMOTE SENSING (2020)
Technology progress in mechanical harvest of fresh market apples
Z. Zhang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Multi-class object detection using faster R-CNN and estimation of shaking locations for automated shake-and-catch apple harvesting
Jing Zhang et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Squeeze-and-Excitation Networks
Jie Hu et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Faster R-CNN-based apple detection in dense-foliage fruiting-wall trees using RGB and depth features for robotic harvesting
Longsheng Fu et al.
BIOSYSTEMS ENGINEERING (2020)
Combining an information-maximization-based attention mechanism and illumination invariance theory for the recognition of green apples in natural scenes
Sashuang Sun et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Multi-class fruit-on-plant detection for apple in SNAP system using Faster R-CNN
Fangfang Gao et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review
Longsheng Fu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map
Mohamed Kerkech et al.
REMOTE SENSING (2020)
Laboratory and UAV-Based Identification and Classification of Tomato Yellow Leaf Curl, Bacterial Spot, and Target Spot Diseases in Tomato Utilizing Hyperspectral Imaging and Machine Learning
Jaafar Abdulridha et al.
REMOTE SENSING (2020)
Weed Identification in Maize, Sunflower, and Potatoes with the Aid of Convolutional Neural Networks
Gerassimos G. Peteinatos et al.
REMOTE SENSING (2020)
Fig Plant Segmentation from Aerial Images Using a Deep Convolutional Encoder-Decoder Network
Jorge Fuentes-Pacheco et al.
REMOTE SENSING (2019)
High-Speed Ship Detection in SAR Images Based on a Grid Convolutional Neural Network
Tianwen Zhang et al.
REMOTE SENSING (2019)
Single-Shot Convolution Neural Networks for Real-Time Fruit Detection Within the Tree
Kushtrim Bresilla et al.
FRONTIERS IN PLANT SCIENCE (2019)
Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities
Jordi Gene-Mola et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards
Hanwen Kang et al.
SENSORS (2019)
Automated Detection of Conifer Seedlings in Drone Imagery Using Convolutional Neural Networks
Michael Fromm et al.
REMOTE SENSING (2019)
Share Paper
