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Digital Agriculture Laboratory
Digital Agriculture Laboratory
College of Agricultural and Environmental Sciences | College of Engineering
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RS Data Base
1- Data Base Content
2- Overview
3- Platforms
3.1. Unmanned Aerial Systems (UAS)
3.2.Manned Aircraft
3.3. Satellite
4- Sensors
4.1. RGB
4.2. Multispectral
4.3. Hyperspectral
4.4. Thermal
4.5. Lidar
4.6. Radar
4.7. Acoustic
5- Applications
5.1. Water Status
5.2. Disease control
5.3. Yield mapping and prediction
5.4. Nutrient management
5.5. Salinity
5.6. Phenotyping
6- Data processing and analysis
6.1. Preprocessing
6.1.1. Radiometric Calibration
6.1.2. Georeferencing
6.1.3. Mosaicing
6.1.4. Point cloud and Digital Surface Models
6.2. Processing
6.2.1. Noise removal and segmentation
6.2.2. Raw Feature Extraction
6.3. Analytics
6.3.1. Multicollinearity
6.3.2. Feature engineering and feature selection
6.3.3.Data mining
6.4. Regression\classification
7- Course of Action
Decision Support Tools
GDD Calculator
Radiative transfer Modeling
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Graduate Students
Julia Jones
PHD Student
Biological and Agricultural Engineering
[email protected]
1344 Bainer Hall
Parastoo Farajpoor
PHD Candidate
[email protected]
1344 Bainer Hall
Mohammadreza Narimani
PHD Candidate
[email protected]
1344 Bainer Hall
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