Related references
Note: Only part of the references are listed.Deep Learning for Remote Sensing Image Understanding
Liangpei Zhang et al.
JOURNAL OF SENSORS (2016)
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2015)
Deep learning for detecting robotic grasps
Ian Lenz et al.
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH (2015)
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Babak Alipanahi et al.
NATURE BIOTECHNOLOGY (2015)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Development of spectral indices for detecting and identifying plant diseases
A. -K. Mahlein et al.
REMOTE SENSING OF ENVIRONMENT (2013)
Digital image processing techniques for detecting, quantifying and classifying plant diseases
Jayme Garcia Arnal Barbedo
SPRINGERPLUS (2013)
Recent advances in sensing plant diseases for precision crop protection
Anne-Katrin Mahlein et al.
EUROPEAN JOURNAL OF PLANT PATHOLOGY (2012)
Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance
T. Rumpf et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)
A review of advanced techniques for detecting plant diseases
Sindhuja Sankaran et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2010)
Plant Disease Diagnostic Capabilities and Networks
Sally A. Miller et al.
Annual Review of Phytopathology (2009)
Evaluating the links between climate, disease spread, and amphibian declines
Jason R. Rohr et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2008)
The problem of overfitting
DM Hawkins
JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2004)
Climate change: potential impact on plant diseases
S Chakraborty et al.
ENVIRONMENTAL POLLUTION (2000)