Monitoring plant diseases and pests through remote sensing technology: A review
• The state-of-the-art remote sensing research in monitoring plant diseases and pests were reviewed. • The characteristics of multiple forms of agricultural remote sensing systems were described. • The spectral, fluorescence, thermal, imaged-based, landscape and habitat features were highlighted. •...
Ausführliche Beschreibung
Autor*in: |
Zhang, Jingcheng [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Analytical heat transfer model for coaxial heat exchangers based on varied heat flux with borehole depth - Jia, Linrui ELSEVIER, 2022, COMPAG online : an international journal, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:165 ; year:2019 ; pages:0 |
Links: |
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DOI / URN: |
10.1016/j.compag.2019.104943 |
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Katalog-ID: |
ELV047857048 |
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• The state-of-the-art remote sensing research in monitoring plant diseases and pests were reviewed. • The characteristics of multiple forms of agricultural remote sensing systems were described. • The spectral, fluorescence, thermal, imaged-based, landscape and habitat features were highlighted. • Multiple algorithms, temporal analysis for monitoring plant diseases and pests were introduced. • The challenges and trends in monitoring plant diseases and pests were stated. |
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• The state-of-the-art remote sensing research in monitoring plant diseases and pests were reviewed. • The characteristics of multiple forms of agricultural remote sensing systems were described. • The spectral, fluorescence, thermal, imaged-based, landscape and habitat features were highlighted. • Multiple algorithms, temporal analysis for monitoring plant diseases and pests were introduced. • The challenges and trends in monitoring plant diseases and pests were stated. |
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• The state-of-the-art remote sensing research in monitoring plant diseases and pests were reviewed. • The characteristics of multiple forms of agricultural remote sensing systems were described. • The spectral, fluorescence, thermal, imaged-based, landscape and habitat features were highlighted. • Multiple algorithms, temporal analysis for monitoring plant diseases and pests were introduced. • The challenges and trends in monitoring plant diseases and pests were stated. |
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