Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ
Due to increasing human interference and continuing climate change, crops are facing a variety of stresses, including diseases, insect pests, drought, heat, cold, frost, flooding, excessive fertilization, and environmental pollution. Crops are characterized by a variety of planting types, a wide dis...
में बचाया:
| स्वरूप: | Online |
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| भाषा: | अंग्रेज़ी |
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MDPI - Multidisciplinary Digital Publishing Institute
2025
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| ऑनलाइन पहुंच: | ONIX_20250812T095121_9783725830176_149 |
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| _version_ | 1869530707780435968 |
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| collection | Directory of Open Access Books |
| description | Due to increasing human interference and continuing climate change, crops are facing a variety of stresses, including diseases, insect pests, drought, heat, cold, frost, flooding, excessive fertilization, and environmental pollution. Crops are characterized by a variety of planting types, a wide distribution range, and significant differences in growing environments. It is therefore essential to accurately and rapidly identify and quantify these stresses on a much larger scale. Advanced methods and measurements are required to overcome the limitations of traditional manual surveys and visual observations. Data acquisition approaches must shift from in situ random sampling to continuous airborne or spaceborne monitoring. The rapid development of hyperspectral and multispectral imaging (HSI and MSI, respectively) techniques has facilitated significant advancements in monitoring, classification, identification, and diagnosis in crop fields. At present, such methods are widely used in areas such as agriculture, forestry, pasture, and ecology, among others. However, data preprocessing, feature selection algorithms, sample quantity, classifiers, and accuracy assessment often vary based on different crops and HSI and MSI data sources. There are a number of critical issues that need to be urgently addressed, such as small-sample classification, spectral dimensionality reduction, and the selection of sensitive spectral bands. The following Special Issue aims to facilitate the exchange of knowledge and promote development regarding any aspect related to crop fields based on various HSI and MSI techniques, thereby facilitating their introduction and application in precise monitoring and diagnosis. |
| format | Online |
| id | doab-20.500.12854ir-165200 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1652002025-08-12T08:11:45Z Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ Zhao, Jinling Wang, Chuanjian hyperspectral imaging multispectral remote sensing crop monitoring and classification growth monitoring nutrient diagnosis geophysical parameters field crops dimensionality reduction feature extraction vegetation indices sensitive features thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes Due to increasing human interference and continuing climate change, crops are facing a variety of stresses, including diseases, insect pests, drought, heat, cold, frost, flooding, excessive fertilization, and environmental pollution. Crops are characterized by a variety of planting types, a wide distribution range, and significant differences in growing environments. It is therefore essential to accurately and rapidly identify and quantify these stresses on a much larger scale. Advanced methods and measurements are required to overcome the limitations of traditional manual surveys and visual observations. Data acquisition approaches must shift from in situ random sampling to continuous airborne or spaceborne monitoring. The rapid development of hyperspectral and multispectral imaging (HSI and MSI, respectively) techniques has facilitated significant advancements in monitoring, classification, identification, and diagnosis in crop fields. At present, such methods are widely used in areas such as agriculture, forestry, pasture, and ecology, among others. However, data preprocessing, feature selection algorithms, sample quantity, classifiers, and accuracy assessment often vary based on different crops and HSI and MSI data sources. There are a number of critical issues that need to be urgently addressed, such as small-sample classification, spectral dimensionality reduction, and the selection of sensitive spectral bands. The following Special Issue aims to facilitate the exchange of knowledge and promote development regarding any aspect related to crop fields based on various HSI and MSI techniques, thereby facilitating their introduction and application in precise monitoring and diagnosis. 2025-08-12T08:11:43Z 2025-08-12T08:11:43Z 2025 book ONIX_20250812T095121_9783725830176_149 9783725830176 9783725830183 https://directory.doabooks.org/handle/20.500.12854/165200 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10879 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3018-3 10.3390/books978-3-7258-3018-3 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725830176 9783725830183 300 open access |
| spellingShingle | hyperspectral imaging multispectral remote sensing crop monitoring and classification growth monitoring nutrient diagnosis geophysical parameters field crops dimensionality reduction feature extraction vegetation indices sensitive features thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ |
| title | Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ |
| title_full | Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ |
| title_fullStr | Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ |
| title_full_unstemmed | Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ |
| title_short | Current Research on Hyperspectral and Multispectral Imaging and Their Applications in Precision Agriculture Ⅱ |
| title_sort | current research on hyperspectral and multispectral imaging and their applications in precision agriculture ii |
| topic | hyperspectral imaging multispectral remote sensing crop monitoring and classification growth monitoring nutrient diagnosis geophysical parameters field crops dimensionality reduction feature extraction vegetation indices sensitive features thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| topic_facet | hyperspectral imaging multispectral remote sensing crop monitoring and classification growth monitoring nutrient diagnosis geophysical parameters field crops dimensionality reduction feature extraction vegetation indices sensitive features thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| url | ONIX_20250812T095121_9783725830176_149 |