WeedMap: A Large-Scale Semantic Weed Mapping Framework Using Aerial Multispectral Imaging and Deep Neural Network for Precision Farming

Deep learning in agriculture: A survey

(2018) Andreas Kamilaris et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

(2018) Eduardo Romera et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

(2018) Xiaomeng Li et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fusion of pixel and object-based features for weed mapping using unmanned aerial vehicle imagery

(2018) Junfeng Gao et al.   International Journal of Applied Earth Observation and Geoinformation

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

(2018) Ronald Kemker et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

UAVs and Machine Learning Revolutionising Invasive Grass and Vegetation Surveys in Remote Arid Lands

(2018) et al.   SENSORS

Aerial and Ground Based Sensing of Tolerance to Beet Cyst Nematode in Sugar Beet

(2018) Samuel Joalland et al.   Remote Sensing

An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery

(2018) Ana de Castro et al.   Remote Sensing

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Robotic technologies for solar-powered UAVs: Fully autonomous updraft-aware aerial sensing for multiday search-and-rescue missions

(2017) Philipp Oettershagen et al.   Journal of Field Robotics

Opinion: Smart farming is key to developing sustainable agriculture

(2017) Achim Walter et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A Review of Deep Learning Methods and Applications for Unmanned Aerial Vehicles

(2017) Adrian Carrio et al.   Journal of Sensors

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

Selecting patterns and features for between- and within- crop-row weed mapping using UAV-imagery

(2016) María Pérez-Ortiz et al.   EXPERT SYSTEMS WITH APPLICATIONS

A semi-supervised system for weed mapping in sunflower crops using unmanned aerial vehicles and a crop row detection method

(2015) M. Pérez-Ortiz et al.   APPLIED SOFT COMPUTING

Sugar beet (Beta vulgaris L.) and thistle (Cirsium arvensis L.) discrimination based on field spectral data

(2015) Francisco J. Garcia-Ruiz et al.   BIOSYSTEMS ENGINEERING

Support Vector Machines for crop/weeds identification in maize fields

(2012) J.M. Guerrero et al.   EXPERT SYSTEMS WITH APPLICATIONS

The application of small unmanned aerial systems for precision agriculture: a review

(2012) Chunhua Zhang et al.   PRECISION AGRICULTURE

Weed detection for site-specific weed management: mapping and real-time approaches

(2010) F LÓPEZ-GRANADOS   WEED RESEARCH

Accurate, Dense, and Robust Multiview Stereopsis

(2009) Yasutaka Furukawa et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE