Remote Sensing Applications for Agriculture and Crop Modelling
Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable meth...
সংরক্ষণ করুন:
| প্রধান লেখক: | |
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| বিন্যাস: | Online |
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | 44748 |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| _version_ | 1869517479974273024 |
|---|---|
| author | Toscano, Piero |
| author_browse | Toscano, Piero |
| author_facet | Toscano, Piero |
| author_sort | Toscano, Piero |
| collection | Directory of Open Access Books |
| description | Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, |
| format | Online |
| id | doab-20.500.12854ir-58167 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-581672024-04-09T11:42:14Z Remote Sensing Applications for Agriculture and Crop Modelling Toscano, Piero G1-922 Q1-390 nitrogen nutrition index n/a soil organic carbon yield estimation hyperspectral sensor crop modeling crop residue management land use change flat-fan atomizer vegetation index septoria tritici blotch crop simulation model temporal variability spectral-weight variations in fused images plant EPIC model large cardamom crop inventory proximal sensing sorghum biomass soil UAV Integrated Administration and Control System canopy temperature depression fractional cover Cropsim-CERES Wheat hyperspectral data yield wheat precision farming SPAD AquaCrop prediction modeling spectral simulation leaf nitrogen concentration machine learning crop production protein content Á Trous algorithm spatial variability variable rate technology crop type mapping Tarim Basin leaf area index management zone irrigation multi-spectral agricultural land-cover crop modelling dynamic model satellite images climate change control variables generalized model Sentinel-2 satellite imagery vegetation indices vegetable monitoring Sentinel-2 remote sensing cultivars crop growth model yield monitoring big data technology conservation agriculture GIS fAPAR droplet drift simulation analysis durum wheat hydroponic grain yield Leaf Area Index NDVI precision agriculture relative frequencies soil stoichiometry habitat assessment data assimilation satellite species modelling ?13C disease nitrogen yield mapping UAV chemical application RGB images decision support system for agrotechnology transfer (DSSAT) thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Crop models and remote sensing techniques have been combined and applied in agriculture and crop estimation on local and regional scales, or worldwide, based on the simultaneous development of crop models and remote sensing. The literature shows that many new remote sensing sensors and valuable methods have been developed for the retrieval of canopy state variables and soil properties from remote sensing data for assimilating the retrieved variables into crop models. At the same time, remote sensing has been used in a staggering number of applications for agriculture. This book sets the context for remote sensing and modelling for agricultural systems as a mean to minimize the environmental impact, while increasing production and productivity. The eighteen papers published in this Special Issue, although not representative of all the work carried out in the field of Remote Sensing for agriculture and crop modeling, 2021-02-12T01:47:24Z 2021-02-12T01:47:24Z 2020-04-07 23:07:08 2020 book 44748 9783039282265 9783039282272 https://directory.doabooks.org/handle/20.500.12854/58167 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/2023 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03928-227-2 10.3390/books978-3-03928-227-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039282265 9783039282272 308 open access |
| spellingShingle | G1-922 Q1-390 nitrogen nutrition index n/a soil organic carbon yield estimation hyperspectral sensor crop modeling crop residue management land use change flat-fan atomizer vegetation index septoria tritici blotch crop simulation model temporal variability spectral-weight variations in fused images plant EPIC model large cardamom crop inventory proximal sensing sorghum biomass soil UAV Integrated Administration and Control System canopy temperature depression fractional cover Cropsim-CERES Wheat hyperspectral data yield wheat precision farming SPAD AquaCrop prediction modeling spectral simulation leaf nitrogen concentration machine learning crop production protein content Á Trous algorithm spatial variability variable rate technology crop type mapping Tarim Basin leaf area index management zone irrigation multi-spectral agricultural land-cover crop modelling dynamic model satellite images climate change control variables generalized model Sentinel-2 satellite imagery vegetation indices vegetable monitoring Sentinel-2 remote sensing cultivars crop growth model yield monitoring big data technology conservation agriculture GIS fAPAR droplet drift simulation analysis durum wheat hydroponic grain yield Leaf Area Index NDVI precision agriculture relative frequencies soil stoichiometry habitat assessment data assimilation satellite species modelling ?13C disease nitrogen yield mapping UAV chemical application RGB images decision support system for agrotechnology transfer (DSSAT) thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography Toscano, Piero Remote Sensing Applications for Agriculture and Crop Modelling |
| title | Remote Sensing Applications for Agriculture and Crop Modelling |
| title_full | Remote Sensing Applications for Agriculture and Crop Modelling |
| title_fullStr | Remote Sensing Applications for Agriculture and Crop Modelling |
| title_full_unstemmed | Remote Sensing Applications for Agriculture and Crop Modelling |
| title_short | Remote Sensing Applications for Agriculture and Crop Modelling |
| title_sort | remote sensing applications for agriculture and crop modelling |
| topic | G1-922 Q1-390 nitrogen nutrition index n/a soil organic carbon yield estimation hyperspectral sensor crop modeling crop residue management land use change flat-fan atomizer vegetation index septoria tritici blotch crop simulation model temporal variability spectral-weight variations in fused images plant EPIC model large cardamom crop inventory proximal sensing sorghum biomass soil UAV Integrated Administration and Control System canopy temperature depression fractional cover Cropsim-CERES Wheat hyperspectral data yield wheat precision farming SPAD AquaCrop prediction modeling spectral simulation leaf nitrogen concentration machine learning crop production protein content Á Trous algorithm spatial variability variable rate technology crop type mapping Tarim Basin leaf area index management zone irrigation multi-spectral agricultural land-cover crop modelling dynamic model satellite images climate change control variables generalized model Sentinel-2 satellite imagery vegetation indices vegetable monitoring Sentinel-2 remote sensing cultivars crop growth model yield monitoring big data technology conservation agriculture GIS fAPAR droplet drift simulation analysis durum wheat hydroponic grain yield Leaf Area Index NDVI precision agriculture relative frequencies soil stoichiometry habitat assessment data assimilation satellite species modelling ?13C disease nitrogen yield mapping UAV chemical application RGB images decision support system for agrotechnology transfer (DSSAT) thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| topic_facet | G1-922 Q1-390 nitrogen nutrition index n/a soil organic carbon yield estimation hyperspectral sensor crop modeling crop residue management land use change flat-fan atomizer vegetation index septoria tritici blotch crop simulation model temporal variability spectral-weight variations in fused images plant EPIC model large cardamom crop inventory proximal sensing sorghum biomass soil UAV Integrated Administration and Control System canopy temperature depression fractional cover Cropsim-CERES Wheat hyperspectral data yield wheat precision farming SPAD AquaCrop prediction modeling spectral simulation leaf nitrogen concentration machine learning crop production protein content Á Trous algorithm spatial variability variable rate technology crop type mapping Tarim Basin leaf area index management zone irrigation multi-spectral agricultural land-cover crop modelling dynamic model satellite images climate change control variables generalized model Sentinel-2 satellite imagery vegetation indices vegetable monitoring Sentinel-2 remote sensing cultivars crop growth model yield monitoring big data technology conservation agriculture GIS fAPAR droplet drift simulation analysis durum wheat hydroponic grain yield Leaf Area Index NDVI precision agriculture relative frequencies soil stoichiometry habitat assessment data assimilation satellite species modelling ?13C disease nitrogen yield mapping UAV chemical application RGB images decision support system for agrotechnology transfer (DSSAT) thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RG Geography |
| url | 44748 |
| work_keys_str_mv | AT toscanopiero remotesensingapplicationsforagricultureandcropmodelling |