Innovative pest management approaches for the 21st Century : harnessing automated unmanned technologies /: harnessing automated unmanned technologies. (2020)
- Record Type:
- Book
- Title:
- Innovative pest management approaches for the 21st Century : harnessing automated unmanned technologies /: harnessing automated unmanned technologies. (2020)
- Main Title:
- Innovative pest management approaches for the 21st Century : harnessing automated unmanned technologies
- Further Information:
- Note: Akshay Kumar Chakravarthy, editor.
- Other Names:
- Chakravarthy, A. K (Akshay Kumar), 1955-
- Contents:
- Intro -- Foreword -- Preface -- Acknowledgement -- Contents -- Editor and Contributors -- About the Editor -- Contributors -- Part I: Pest Population Monitoring: Modern Tools -- 1: Applications of Geospatial Technologies in Plant Health Management -- 1.1 Introduction -- 1.2 The Need for Remote Sensing in Plant Protection -- 1.2.1 Nature and Magnitude of Crop Losses -- 1.2.2 Changing Agroecosystems and Related Pest Problems -- 1.2.3 Timeliness and Accuracy of Information -- 1.2.4 Organization of Plant Protection and Gaps in the Existing System -- 1.2.5 Gaps in the Existing System 1.3 Physical and Physiological Basis of Plant Health Assessment -- 1.3.1 Leaf Reflectance -- 1.3.2 Canopy Reflectance -- 1.3.3 Crop Canopy Temperature -- 1.3.4 Vegetation Indices -- 1.3.5 Vitality Indicator for Plants -- 1.3.6 Chlorophyll Fluorescence as Stress Indicator -- 1.3.7 Image Interpretation and Spatial Data Analysis -- 1.4 Application of Remote Sensing in Plant Health Management: Select Examples -- 1.4.1 Beginning and Development -- 1.5 Case Studies -- 1.5.1 Vegetation Indices for Stress Detection and Damage Assessment 1.6 Satellite Remote Sensing Survey of Ecological Conditions and Forecasting Desert Locusts -- 1.7 Forecasting Wheat Stem Rust and Crop Condition Assessment Using Satellite and Landsat Data -- 1.8 Satellite Remote Sensing Techniques for Pest Management of Brown Plant Hopper -- 1.9 Remote Sensing Applications in the Management of Cotton Whitefly Bemisia tabaci (Gennadius) --Intro -- Foreword -- Preface -- Acknowledgement -- Contents -- Editor and Contributors -- About the Editor -- Contributors -- Part I: Pest Population Monitoring: Modern Tools -- 1: Applications of Geospatial Technologies in Plant Health Management -- 1.1 Introduction -- 1.2 The Need for Remote Sensing in Plant Protection -- 1.2.1 Nature and Magnitude of Crop Losses -- 1.2.2 Changing Agroecosystems and Related Pest Problems -- 1.2.3 Timeliness and Accuracy of Information -- 1.2.4 Organization of Plant Protection and Gaps in the Existing System -- 1.2.5 Gaps in the Existing System 1.3 Physical and Physiological Basis of Plant Health Assessment -- 1.3.1 Leaf Reflectance -- 1.3.2 Canopy Reflectance -- 1.3.3 Crop Canopy Temperature -- 1.3.4 Vegetation Indices -- 1.3.5 Vitality Indicator for Plants -- 1.3.6 Chlorophyll Fluorescence as Stress Indicator -- 1.3.7 Image Interpretation and Spatial Data Analysis -- 1.4 Application of Remote Sensing in Plant Health Management: Select Examples -- 1.4.1 Beginning and Development -- 1.5 Case Studies -- 1.5.1 Vegetation Indices for Stress Detection and Damage Assessment 1.6 Satellite Remote Sensing Survey of Ecological Conditions and Forecasting Desert Locusts -- 1.7 Forecasting Wheat Stem Rust and Crop Condition Assessment Using Satellite and Landsat Data -- 1.8 Satellite Remote Sensing Techniques for Pest Management of Brown Plant Hopper -- 1.9 Remote Sensing Applications in the Management of Cotton Whitefly Bemisia tabaci (Gennadius) -- 1.10 Short-Range Forecast of Rainfall for Pesticide Applications -- 1.11 Use of IR5-1 A Data for Disease Detection -- 1.12 Present Constraints and Future Perspectives -- References 2: Application of Unmanned Aerial Vehicles (UAVs) for Pest Surveillance, Monitoring and Management -- 2.1 Introduction -- 2.2 UAV as a System, Payloads and Sensors -- 2.3 UAV Platform (Flying Unit) -- 2.3.1 Airframe -- 2.3.2 Flight Control System -- 2.3.3 Ground Control Station -- 2.4 Payload -- 2.5 Aerial Imaging/Remote Sensing Using UAVs -- 2.6 Types of Sensors for Remote Sensing in Agriculture -- 2.7 The Electromagnetic Spectrum of Light -- 2.8 How Does Remote Sensing Work? -- 2.9 Sensors Used in UAV-Based Imaging or Remote Sensing -- 2.10 Thermal Camera 2.11 Multispectral Imaging -- 2.12 Hyperspectral Imaging -- 2.13 UAV for Monitoring Pests -- References -- 3: Unmanned Aerial System Technologies for Pesticide Spraying -- 3.1 Introduction -- 3.2 UAVs for Pest Management -- 3.3 UAV-Based Remote Sensing -- 3.4 UAV Types -- 3.5 UAV Payloads -- 3.6 UAV Remote Sensing Application -- 3.6.1 Flight Campaign -- 3.6.2 UAV Remote-Sensed Aerial Imagery Processing for Paddy Crop-Pest Mapping -- 3.7 Mechanism of Functions -- References -- 4: Insect Pest Detection, Migration and Monitoring Using Radar and LiDAR Systems -- 4.1 Introduction … (more)
- Publisher Details:
- Singapore : Springer Singapore Pte. Limited
- Publication Date:
- 2020
- Extent:
- 1 online resource (522 pages)
- Subjects:
- 632/.9
Pests -- Control -- Technological innovations
Electronic books - Languages:
- English
- ISBNs:
- 9789811507946
9811507945
9811507937
9789811507939
9789811507953
9811507953
9789811507960
9811507961 - Related ISBNs:
- 9789811507939
- Notes:
- Note: Print version 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.510190
- Ingest File:
- 03_088.xml