Unmanned aerial vehicle : applications in agriculture and environment /: applications in agriculture and environment. ([2020])
- Record Type:
- Book
- Title:
- Unmanned aerial vehicle : applications in agriculture and environment /: applications in agriculture and environment. ([2020])
- Main Title:
- Unmanned aerial vehicle : applications in agriculture and environment
- Further Information:
- Note: Ram Avtar, Teiji Watanabe, editors.
- Editors:
- (Researcher on climate change), Avtar, Ram
Watanabe, Teiji - Contents:
- Intro; Preface; Contents; Chapter 1: Introduction; 1.1 Introduction; 1.2 Structure of the Book: Unmanned Aerial Vehicle-Applications in Agriculture and Environment; References; Chapter 2: Precision Agriculture and Unmanned Aerial Vehicles (UAVs); 2.1 Precision Agriculture; 2.2 Satellite vs Drone Sensing; 2.3 UAV-Based Sensors in Precision Agriculture; 2.3.1 Visible and IR Imagers and Sensors (400-2500 nm); 2.3.2 Thermal Camera (3000-12, 000 nm); 2.3.3 LiDAR Sensor; 2.3.4 Aerobiological Sampling; 2.3.5 Spraying of Pesticides Through Drone 2.4 Vegetation Indices and Other Techniques for Drone-Based Data Analysis2.5 UAV-Based Precision Agriculture Cycle; 2.6 UAV in High-Throughput Plant Phenotyping; 2.7 Integration of UAV Data with Crop Models; References; Chapter 3: Unmanned Aerial Vehicle (UAV)-Based Hyperspectral Imaging System for Precision Agriculture and Forest Management; 3.1 Introduction; 3.2 UAV-Based Hyperspectral Imaging System; 3.2.1 Specifications; 3.2.2 Operation; 3.3 Hyperspectral Image Processing; 3.3.1 Radiometric Calibration; 3.3.2 Camera Calibration; 3.3.3 Band-to-Band Registration 3.3.4 Conversion to Reflectance3.3.5 Further Analysis; 3.4 Conclusions; References; Chapter 4: Unmanned Aerial Vehicle (UAV) for Fertilizer Management in Grassland of Hokkaido, Japan; 4.1 Introduction; 4.2 Materials and BNDVI; 4.3 Experiments in 2017; 4.4 Experiments in 2018; 4.5 Remote Sensing Data; 4.6 Conclusion and Future Works; References; Chapter 5: Corn Height EstimationIntro; Preface; Contents; Chapter 1: Introduction; 1.1 Introduction; 1.2 Structure of the Book: Unmanned Aerial Vehicle-Applications in Agriculture and Environment; References; Chapter 2: Precision Agriculture and Unmanned Aerial Vehicles (UAVs); 2.1 Precision Agriculture; 2.2 Satellite vs Drone Sensing; 2.3 UAV-Based Sensors in Precision Agriculture; 2.3.1 Visible and IR Imagers and Sensors (400-2500 nm); 2.3.2 Thermal Camera (3000-12, 000 nm); 2.3.3 LiDAR Sensor; 2.3.4 Aerobiological Sampling; 2.3.5 Spraying of Pesticides Through Drone 2.4 Vegetation Indices and Other Techniques for Drone-Based Data Analysis2.5 UAV-Based Precision Agriculture Cycle; 2.6 UAV in High-Throughput Plant Phenotyping; 2.7 Integration of UAV Data with Crop Models; References; Chapter 3: Unmanned Aerial Vehicle (UAV)-Based Hyperspectral Imaging System for Precision Agriculture and Forest Management; 3.1 Introduction; 3.2 UAV-Based Hyperspectral Imaging System; 3.2.1 Specifications; 3.2.2 Operation; 3.3 Hyperspectral Image Processing; 3.3.1 Radiometric Calibration; 3.3.2 Camera Calibration; 3.3.3 Band-to-Band Registration 3.3.4 Conversion to Reflectance3.3.5 Further Analysis; 3.4 Conclusions; References; Chapter 4: Unmanned Aerial Vehicle (UAV) for Fertilizer Management in Grassland of Hokkaido, Japan; 4.1 Introduction; 4.2 Materials and BNDVI; 4.3 Experiments in 2017; 4.4 Experiments in 2018; 4.5 Remote Sensing Data; 4.6 Conclusion and Future Works; References; Chapter 5: Corn Height Estimation Using UAV for Yield Prediction and Crop Monitoring; 5.1 Introduction; 5.2 Materials and Methods; 5.2.1 Site Description and Management; 5.2.2 Materials; 5.2.3 Data Acquisition; 5.2.4 Data Processing; 5.2.4.1 NDVI 5.2.4.2 Height Estimation5.3 Results; 5.3.1 NDVI Assessment; 5.3.2 UAV Height Estimation Assessment; 5.3.3 NDVI and UAV Height Estimation Through Time; 5.3.4 Field Data; 5.3.5 Correlations Through Time; 5.3.6 Crop Monitoring; 5.4 Discussion; 5.5 Conclusions; References; Chapter 6: Supporting Oil Palm Replanting Programs Using UAV and GIS in Malaysia; 6.1 Necessity of Effective Oil Palm Management; 6.2 Oil Palm Individual Tree Detection Using UAV; 6.2.1 Application of Local Maximum Algorithm for Individual Tree Detection 6.2.2 Application of Template Matching Algorithm for Individual Tree Detection6.3 Individual Tree Detection Accuracy Assessment; 6.4 Individual Oil Palm Height Estimation; 6.5 Summary; References; Chapter 7: Applications of UAVs in Plantation Health and Area Management in Malaysia; 7.1 Introduction; 7.2 Application of UAVs in Plantation Area Development; 7.3 Case Studies; 7.3.1 UAVs for Plantation Establishment and Replanting; 7.3.2 UAVs for Plantation Management and Maintenance; 7.4 Plantation Health Assessment; 7.4.1 Oil Palm Health Monitoring7.4.2 Detection of Oil Palm Pests Using MicaSense RedEdge Sensor … (more)
- Publisher Details:
- Cham : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2020
- Extent:
- 1 online resource (202 pages)
- Subjects:
- 631.3
Drone aircraft
Aeronautics in agriculture
Electronic books - Languages:
- English
- ISBNs:
- 9783030271572
3030271579 - Notes:
- Note: Description based upon print version of record.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.473632
- Ingest File:
- 02_624.xml