Keyphrases
Soil Moisture
100%
Machine Learning Techniques
100%
Smartphone
100%
Captured Images
100%
Sunlight
60%
Error Value
60%
Least Squares Support Vector Regression (LSSVR)
40%
R2 Value
40%
Root Mean Square Error
40%
Multiple Linear Regression
40%
Soil Moisture Monitoring
40%
Mean Absolute Error
40%
IPhone
40%
Leave-one-out
20%
Agriculture
20%
Sydney Australia
20%
Soil Samples
20%
Soil Properties
20%
Computer Vision
20%
Food Production
20%
World Population
20%
Moisture
20%
Machine Learning
20%
Mobile Application
20%
Non-destructive
20%
Irrigation Scheduling
20%
Software Developers
20%
Smartphone Camera
20%
Application-oriented
20%
Smartphone Technology
20%
Convolutional Neural Network
20%
10-fold Cross Validation
20%
Sunlight Condition
20%
Holdout
20%
Regression Neural Network
20%
Image Capturing Devices
20%
Soil Image
20%
Technology Visions
20%
Engineering
Root Mean Square Error
100%
Error Value
100%
Captured Image
100%
Machine Learning Technique
100%
Mean Absolute Error
100%
Support Vector Machine
100%
Soil Sample
50%
Computervision
50%
Image Capturing
50%
Global Population
50%
Australia
50%
Learning System
50%
Convolutional Neural Network
50%
Mobile Phones
50%
Chemical Engineering
Learning System
100%
Soil Moisture
100%
Support Vector Machine
28%
Neural Network
14%
Immunology and Microbiology
Support Vector Machine
100%