Crop disease detection using remote sensing image analysis / / edited by Xanthoula Eirini Pantazi.
Pest and crop disease threats are often estimated by complex changes in crops and the applied agricultural practices that result mainly from the increasing food demand and climate change at global level. In an attempt to explore high-end and sustainable solutions for both pest and crop disease manag...
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| Place / Publishing House: | Basel : : MDPI - Multidisciplinary Digital Publishing Institute,, 2022. |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 online resource (202 pages) |
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Table of Contents:
- About the Editor
- Preface to "Crop Disease Detection Using Remote Sensing Image Analysis"
- Assessment of Different Object Detectors for the Maturity Level Classification of Broccoli Crops Using UAV Imagery
- Identification and Severity Monitoring of Maize Dwarf Mosaic Virus Infection Based on Hyperspectral Measurements
- Early Detection of Powdery Mildew Disease and Accurate Quantification of Its Severity Using Hyperspectral Images in Wheat
- Research on Polarized Multi-Spectral System and Fusion Algorithm for Remote Sensing of Vegetation Status at Night
- Integrating Spectral Information and Meteorological Data to Monitor Wheat Yellow Rust at a Regional Scale: A Case Study
- A Modified Geometrical Optical Model of Row Crops Considering Multiple Scattering Frame
- A Quantitative Monitoring Method for Determining Maize Lodging in Different Growth Stages
- Prediction of the Kiwifruit Decline Syndrome in Diseased Orchards by Remote Sensing
- Practical Recommendations for Hyperspectral and Thermal Proximal Disease Sensing in Potato and Leek Fields
- Correction: Xu, M., et al. A Modified Geometrical Optical Model of Row Crops Considering Multiple Scattering Frame. Remote Sensing 2020, 12, 3600.