Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technol...
Saved in:
| HerausgeberIn: | |
|---|---|
| Sonstige: | |
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (322 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
993562963904498 |
|---|---|
| ctrlnum |
(CKB)5670000000391626 (oapen)https://directory.doabooks.org/handle/20.500.12854/93234 (EXLCZ)995670000000391626 |
| collection |
bib_alma |
| record_format |
marc |
| spelling |
Paraforos, Dimitrios edt Sustainable Agriculture and Advances of Remote Sensing (Volume 2) Sustainable Agriculture and Advances of Remote Sensing MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (322 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publication of the results, among others. English Research & information: general bicssc Geography bicssc geographic information system (GIS) pocket beaches coastal management Interreg climate change remote sensing drone Sicily Malta Gozo Comino systematic literature review anomaly intrusion detection deep learning IoT resource constraint IDS evapotranspiration penman-monteith equation artificial neural network canopy conductance Ziz basin water quality satellite image analysis modeling approach nitrate dissolved oxygen chlorophyll a time series analysis environmental monitoring water extraction modified normalized difference water index (MNDWI) machine learning algorithm hyperspectral proximal sensing panicle initiation normalized difference vegetation index (NDVI) green ring internode-elongation Sentinel 1 and 2 Copernicus Sentinels crop classification food security agricultural monitoring data analysis SAR random forest 3D bale wrapping method equal bale dimensions mathematical model minimal film consumption optimal bale dimensions round bales Sentinel-2 SVM RF Boufakrane River watershed irrigation requirements water resources sustainable land use agriculture invasive plants precision agriculture rice farming site-specific weed management nitrogen prediction 1D convolution neural networks cucumber crop yield improvement mango leaf CCA vein pattern leaf disease cubic SVM chlorophyll-a concentration transfer learning overfitting data augmentation guava disease plant disease detection crops diseases entropy features fusion machine learning object-based classification density estimation histogram land use crop fields soil tillage data fusion multispectral sensor probe temperature profile forest roads simulation autonomous robots smart agriculture environmental protection photogrammetry path planning internet of things modeling convolutional neural networks machine vision computer vision modular robot selective spraying vision-based crop and weed detection Faster R-CNN YOLOv5 band selection CNN NDVI hyperspectral imaging crops urban flood Sentinel-1a Synthetic Aperture Radar (SAR) 3D Convolutional Neural Network multi-temporal data land use classification GIS Coatzacoalcos algorithms clustering pest control site-specific virtual pests rice plant weed hyperspectral imagery sustainable agriculture green technologies Internet of Things natural resources sustainable environment IoT ecosystem hyperspectral remoting sensing crop mapping image classification deep transfer learning hyperparameter optimization metaheuristic soil attribute ordinary Kriging rational sampling numbers spatial heterogeneity sampling soil pH spatial variation ordinary kriging Land Use/Land Cover LISS-III Landsat Vision Transformer Bidirectional long-short term memory Google Earth Engine Explainable Artificial Intelligence 3-0365-5335-5 Muzirafuti, Anselme edt Randazzo, Giovanni edt Lanza, Stefania edt Paraforos, Dimitrios oth Muzirafuti, Anselme oth Randazzo, Giovanni oth Lanza, Stefania oth |
| language |
English |
| format |
eBook |
| author2 |
Muzirafuti, Anselme Randazzo, Giovanni Lanza, Stefania Paraforos, Dimitrios Muzirafuti, Anselme Randazzo, Giovanni Lanza, Stefania |
| author_facet |
Muzirafuti, Anselme Randazzo, Giovanni Lanza, Stefania Paraforos, Dimitrios Muzirafuti, Anselme Randazzo, Giovanni Lanza, Stefania |
| author2_variant |
d p dp a m am g r gr s l sl |
| author2_role |
HerausgeberIn HerausgeberIn HerausgeberIn Sonstige Sonstige Sonstige Sonstige |
| title |
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| spellingShingle |
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| title_full |
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| title_fullStr |
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| title_full_unstemmed |
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| title_auth |
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| title_alt |
Sustainable Agriculture and Advances of Remote Sensing |
| title_new |
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| title_sort |
sustainable agriculture and advances of remote sensing (volume 2) |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2022 |
| physical |
1 electronic resource (322 p.) |
| isbn |
3-0365-5336-3 3-0365-5335-5 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT paraforosdimitrios sustainableagricultureandadvancesofremotesensingvolume2 AT muzirafutianselme sustainableagricultureandadvancesofremotesensingvolume2 AT randazzogiovanni sustainableagricultureandadvancesofremotesensingvolume2 AT lanzastefania sustainableagricultureandadvancesofremotesensingvolume2 AT paraforosdimitrios sustainableagricultureandadvancesofremotesensing AT muzirafutianselme sustainableagricultureandadvancesofremotesensing AT randazzogiovanni sustainableagricultureandadvancesofremotesensing AT lanzastefania sustainableagricultureandadvancesofremotesensing |
| status_str |
n |
| ids_txt_mv |
(CKB)5670000000391626 (oapen)https://directory.doabooks.org/handle/20.500.12854/93234 (EXLCZ)995670000000391626 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| author2_original_writing_str_mv |
noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField noLinkedField |
| _version_ |
1796652159274582016 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>07476nam-a2202305z--4500</leader><controlfield tag="001">993562963904498</controlfield><controlfield tag="005">20231214133632.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202210s2022 xx |||||o ||| 0|eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">3-0365-5336-3</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5670000000391626</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/93234</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995670000000391626</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Paraforos, Dimitrios</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Sustainable Agriculture and Advances of Remote Sensing (Volume 2)</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Sustainable Agriculture and Advances of Remote Sensing </subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (322 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Agriculture, as the main source of alimentation and the most important economic activity globally, is being affected by the impacts of climate change. To maintain and increase our global food system production, to reduce biodiversity loss and preserve our natural ecosystem, new practices and technologies are required. This book focuses on the latest advances in remote sensing technology and agricultural engineering leading to the sustainable agriculture practices. Earth observation data, in situ and proxy-remote sensing data are the main source of information for monitoring and analyzing agriculture activities. Particular attention is given to earth observation satellites and the Internet of Things for data collection, to multispectral and hyperspectral data analysis using machine learning and deep learning, to WebGIS and the Internet of Things for sharing and publication of the results, among others.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Research & information: general</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Geography</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">geographic information system (GIS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pocket beaches</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">coastal management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Interreg</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">climate change</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">remote sensing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">drone</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Sicily</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Malta</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Gozo</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Comino</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">systematic literature review</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">anomaly intrusion detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">IoT</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">resource constraint</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">IDS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">evapotranspiration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">penman-monteith equation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artificial neural network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">canopy conductance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Ziz basin</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">water quality</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">satellite image analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">modeling approach</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nitrate</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">dissolved oxygen</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">chlorophyll a</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">time series analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">environmental monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">water extraction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">modified normalized difference water index (MNDWI)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning algorithm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperspectral</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">proximal sensing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">panicle initiation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">normalized difference vegetation index (NDVI)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">green ring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">internode-elongation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Sentinel 1 and 2</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Copernicus Sentinels</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crop classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">food security</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">agricultural monitoring</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data analysis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SAR</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">random forest</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">3D bale wrapping method</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">equal bale dimensions</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mathematical model</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">minimal film consumption</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">optimal bale dimensions</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">round bales</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Sentinel-2</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">SVM</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RF</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Boufakrane River watershed</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">irrigation requirements</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">water resources</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sustainable land use</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">agriculture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">invasive plants</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">precision agriculture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rice farming</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">site-specific weed management</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nitrogen prediction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">1D convolution neural networks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cucumber</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crop yield improvement</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">mango leaf</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CCA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vein pattern</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">leaf disease</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cubic SVM</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">chlorophyll-a concentration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">transfer learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">overfitting</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data augmentation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">guava disease</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">plant disease detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crops diseases</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">entropy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">features fusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">object-based classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">density estimation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">histogram</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">land use</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crop fields</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">soil tillage</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">data fusion</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multispectral</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sensor</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">probe</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">temperature profile</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">forest roads</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">simulation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">autonomous robots</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">smart agriculture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">environmental protection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">photogrammetry</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">path planning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">internet of things</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">modeling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">convolutional neural networks</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine vision</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">computer vision</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">modular robot</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">selective spraying</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">vision-based crop and weed detection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Faster R-CNN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">YOLOv5</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">band selection</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">CNN</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">NDVI</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperspectral imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crops</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">urban flood</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Sentinel-1a</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Synthetic Aperture Radar (SAR)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">3D Convolutional Neural Network</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">multi-temporal data</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">land use classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">GIS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Coatzacoalcos</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">algorithms</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">clustering</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pest control</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">site-specific</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">virtual pests</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rice plant</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">weed</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperspectral imagery</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sustainable agriculture</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">green technologies</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Internet of Things</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">natural resources</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sustainable environment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">IoT ecosystem</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperspectral remoting sensing</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">crop mapping</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">image classification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep transfer learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">hyperparameter optimization</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">metaheuristic</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">soil attribute</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ordinary Kriging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">rational sampling numbers</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spatial heterogeneity</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">sampling</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">soil pH</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">spatial variation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ordinary kriging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Land Use/Land Cover</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">LISS-III</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Landsat</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Vision Transformer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Bidirectional long-short term memory</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Google Earth Engine</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Explainable Artificial Intelligence</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-5335-5</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Muzirafuti, Anselme</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Randazzo, Giovanni</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lanza, Stefania</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Paraforos, Dimitrios</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Muzirafuti, Anselme</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Randazzo, Giovanni</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lanza, Stefania</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 06:00:20 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-11-05 21:33:14 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5340568780004498&Force_direct=true</subfield><subfield code="Z">5340568780004498</subfield><subfield code="b">Available</subfield><subfield code="8">5340568780004498</subfield></datafield></record></collection> |