Adaptive autonomous UAV scouting for rice lodging assessment using edge computing with deep learning EDANet

Early season detection of rice plants using RGB, NIR-G-B and multispectral images from unmanned aerial vehicle (UAV)

(2020) Hengbiao Zheng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Semantic Segmentation Using Deep Learning with Vegetation Indices for Rice Lodging Identification in Multi-date UAV Visible Images

(2020) Ming-Der Yang et al.   Remote Sensing

An end-to-end model for rice yield prediction using deep learning fusion

(2020) Zheng Chu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

UAV environmental perception and autonomous obstacle avoidance: A deep learning and depth camera combined solution

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

A Novel Object-Based Deep Learning Framework for Semantic Segmentation of Very High-Resolution Remote Sensing Data: Comparison with Convolutional and Fully Convolutional Networks

(2019) Maria Papadomanolaki et al.   Remote Sensing

All one needs to know about fog computing and related edge computing paradigms: A complete survey

(2019) Ashkan Yousefpour et al.   JOURNAL OF SYSTEMS ARCHITECTURE

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

(2019) Qi Yang et al.   FIELD CROPS RESEARCH

Use of Unmanned Aerial Vehicle Imagery and Deep Learning UNet to Extract Rice Lodging

(2019) Zhao et al.   SENSORS

Estimates of rice lodging using indices derived from UAV visible and thermal infrared images

(2018) Tao Liu et al.   AGRICULTURAL AND FOREST METEOROLOGY

Deep learning in agriculture: A survey

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

Timely and Quantitative Damage Assessment of Oyster Racks Using UAV Images

(2018) Ming-Der Yang et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Spatial and Spectral Hybrid Image Classification for Rice Lodging Assessment through UAV Imagery

(2017) Ming-Der Yang et al.   Remote Sensing

Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images

(2017) Tianxing Chu et al.   Remote Sensing

Testing an ansatz for the leading secular loop corrections from quantum gravity during inflation

(2016) S Basu et al.   CLASSICAL AND QUANTUM GRAVITY

New Approach to Increasing Rice Lodging Resistance and Biomass Yield Through the Use of High Gibberellin Producing Varieties

(2014) Ayako Okuno et al.   PLoS One

Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project

(2014) Andrew Nelson et al.   Remote Sensing

A Review of Smart Homes—Past, Present, and Future

(2012) Muhammad Raisul Alam et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Effects of Lodging at Different Filling Stages on Rice Yield and Grain Quality

(2012) You-zhong LANG et al.   Rice Science

The Internet of Things: A survey

(2010) Luigi Atzori et al.   Computer Networks

Systematic image quality assessment for sewer inspection

(2010) Ming-Der Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS

New approach for rice improvement using a pleiotropic QTL gene for lodging resistance and yield

(2010) Taiichiro Ookawa et al.   Nature Communications

Verification of color vegetation indices for automated crop imaging applications

(2008) George E. Meyer et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Food Security Under Climate Change

(2008) M. E. Brown et al.   SCIENCE