Related references
Note: Only part of the references are listed.Entropy-based redundancy analysis and information screening
Yang Li et al.
DIGITAL COMMUNICATIONS AND NETWORKS (2023)
Distance-Entropy: An Effective Indicator for Selecting Informative Data
Yang Li et al.
FRONTIERS IN PLANT SCIENCE (2022)
Disturbed-entropy: A simple data quality assessment approach
Yang Li et al.
ICT EXPRESS (2022)
A survey of few-shot learning in smart agriculture: developments, applications, and challenges
Jiachen Yang et al.
PLANT METHODS (2022)
Visual navigation with fast landmark selection based on error analysis for asteroid descent stage
Ronghai Hu et al.
ADVANCES IN SPACE RESEARCH (2021)
Meta-learning baselines and database for few-shot classification in agriculture
Yang Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2021)
Few-shot cotton leaf spots disease classification based on metric learning
Xihuizi Liang
PLANT METHODS (2021)
Toward Sustainability: Trade-Off Between Data Quality and Quantity in Crop Pest Recognition
Yang Li et al.
FRONTIERS IN PLANT SCIENCE (2021)
Few-shot cotton pest recognition and terminal realization
Yang Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
Visual navigation based on curve matching for planetary landing in unknown environments
Pingyuan Cui et al.
ACTA ASTRONAUTICA (2020)
ANN-Based Continual Classification in Agriculture
Yang Li et al.
AGRICULTURE-BASEL (2020)
Do we really need deep CNN for plant diseases identification?
Yang Li et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)
A new Expert System for greenness identification in agricultural images
J. Romeo et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
A computer vision approach for weeds identification through Support Vector Machines
Alberto Tellaeche et al.
APPLIED SOFT COMPUTING (2011)
Real-time image processing for crop/weed discrimination in maize fields
Xavier P. Burgos-Artizzu et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2011)
Protocol: a rapid and economical procedure for purification of plasmid or plant DNA with diverse applications in plant biology
Jian-Feng Li et al.
PLANT METHODS (2010)
A vision based row detection system for sugar beet
Tijmen Bakker et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)
Autonomous robotic weed control systems: A review
D. C. Slaughter et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2008)
Automated crop and weed monitoring in widely spaced cereals
T. Hague et al.
PRECISION AGRICULTURE (2006)
A vision based row-following system for agricultural field machinery
B Åstrand et al.
MECHATRONICS (2005)
Machine vision for a micro weeding robot in a paddy field
B Chen et al.
BIOSYSTEMS ENGINEERING (2003)