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Artificial Intelligence-Based Learning Approaches for Remote Sensing
| Artificial Intelligence-Based Learning Approaches for Remote Sensing |
| Autore | Jeon Gwanggil |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (382 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
pine wilt disease dataset
GIS application visualization test-time augmentation object detection hard negative mining video synthetic aperture radar (SAR) moving target shadow detection deep learning false alarms missed detections synthetic aperture radar (SAR) on-board ship detection YOLOv5 lightweight detector remote sensing image spectral domain translation generative adversarial network paired translation synthetic aperture radar ship instance segmentation global context modeling boundary-aware box prediction land-use and land-cover built-up expansion probability modelling landscape fragmentation machine learning support vector machine frequency ratio fuzzy logic artificial intelligence remote sensing interferometric phase filtering sparse regularization (SR) deep learning (DL) neural convolutional network (CNN) semantic segmentation open data building extraction unet deeplab classifying-inversion method AIS atmospheric duct ship detection and classification rotated bounding box attention feature alignment weather nowcasting ResNeXt radar data spectral-spatial interaction network spectral-spatial attention pansharpening UAV visual navigation Siamese network multi-order feature MIoU imbalanced data classification data over-sampling graph convolutional network semi-supervised learning troposcatter tropospheric turbulence intercity co-channel interference concrete bridge visual inspection defect deep convolutional neural network transfer learning interpretation techniques weakly supervised semantic segmentation |
| ISBN | 3-0365-6084-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639984703321 |
Jeon Gwanggil
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Robots and Autonomous Machines for Agriculture Production
| Robots and Autonomous Machines for Agriculture Production |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (520 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
adoption
agricultural robot agricultural robotics agriculture apple detection apple grader apple harvesting artificial intelligence attention mechanism SE automated welding automatic peeling machines autonomous navigation autonomous robots autonomous vehicle bale collection problem binocular vision broadcast monitoring CANopen protocol cloud computing cluster fruit computer vision constant-pressure feedback cotton precision planter cotton seeder cotton seeds cracked eggs dairy farm data acquisition deep learning density-based spatial clustering of applications with noise DIoU_Loss drones duckbill egg's electrical characteristic model electrical characteristics field experiment film recycling film recycling rate Fin Ray effect finite element analysis forage handling fresh weight prediction fully connected neural network garlic clove righting garlic seeding genetic algorithm genetic ant colony stepwise algorithm global optimization growth model high-performance film for full recycling high-speed photography technology Industry 4.0 information perception of fruit trees IoT jujube pruning kinematic analysis least-square lightning attachment procedure optimization machine learning machine vision manipulator Mask R-CNN microcurrent signal analysis mish missed broadcast monitoring mobile manipulation motion planning motor-driven multiarm harvesting trajectory optimization multiobjective optimization n/a naive Bayesian network navigation line extraction neighborhood collection no-tillage nondestructive detection obstacle avoidance optimization and optimal control orchard machinery orientation recognition path extraction path planning performance test phenotyping photoelectric sensor picking manipulator picking robot pineapple eye point cloud registration of fruit trees poultry eggs precision agriculture precision planter pusher robot recognition regression superposition residual network robotic pest control robots shrimp ShufflenetV2 Simufact Welding skeleton extraction slip detection smart production soft gripper solar greenhouse sowing quality step-size dichotomy stereo matching stereo-matching straw-rotting fungus substrate-cultivated lettuce tactile perception technology three-dimensional tiller counting TO-RRT unmanned vehicles viticulture wavelet scattering convolutional network welding robot YOLOv5 YOLOX |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743274003321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Sustainable Agriculture and Advances of Remote Sensing (Volume 1)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 1) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (324 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
1D convolution neural networks
3D bale wrapping method 3D Convolutional Neural Network agricultural monitoring agriculture algorithms anomaly intrusion detection artificial neural network autonomous robots band selection Bidirectional long-short term memory Boufakrane River watershed canopy conductance CCA chlorophyll a chlorophyll-a concentration climate change clustering CNN coastal management Coatzacoalcos Comino computer vision convolutional neural networks Copernicus Sentinels crop classification crop fields crop mapping crop yield improvement crops crops diseases cubic SVM cucumber data analysis data augmentation data fusion deep learning deep transfer learning density estimation dissolved oxygen drone entropy environmental monitoring environmental protection equal bale dimensions evapotranspiration Explainable Artificial Intelligence Faster R-CNN features fusion food security forest roads geographic information system (GIS) GIS Google Earth Engine Gozo green ring green technologies guava disease histogram hyperparameter optimization hyperspectral hyperspectral imagery hyperspectral imaging hyperspectral remoting sensing IDS image classification internet of things Internet of Things internode-elongation Interreg invasive plants IoT IoT ecosystem irrigation requirements land use land use classification Land Use/Land Cover Landsat leaf disease LISS-III machine learning machine learning algorithm machine vision Malta mango leaf mathematical model metaheuristic minimal film consumption modeling modeling approach modified normalized difference water index (MNDWI) modular robot multi-temporal data multispectral natural resources NDVI nitrate nitrogen prediction normalized difference vegetation index (NDVI) object-based classification optimal bale dimensions ordinary kriging ordinary Kriging overfitting panicle initiation path planning penman-monteith equation pest control photogrammetry plant disease detection pocket beaches precision agriculture probe proximal sensing random forest rational sampling numbers remote sensing resource constraint RF rice farming rice plant round bales sampling SAR satellite image analysis selective spraying sensor Sentinel 1 and 2 Sentinel-1a Sentinel-2 Sicily simulation site-specific site-specific weed management smart agriculture soil attribute soil pH soil tillage spatial heterogeneity spatial variation sustainable agriculture sustainable environment sustainable land use SVM Synthetic Aperture Radar (SAR) systematic literature review temperature profile time series analysis transfer learning urban flood vein pattern virtual pests Vision Transformer vision-based crop and weed detection water extraction water quality water resources weed YOLOv5 Ziz basin |
| ISBN | 3-0365-5338-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464703321 |
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Paraforos Dimitrios
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Sustainable Agriculture and Advances of Remote Sensing (Volume 2)
| Sustainable Agriculture and Advances of Remote Sensing (Volume 2) |
| Autore | Paraforos Dimitrios |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (322 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
1D convolution neural networks
3D bale wrapping method 3D Convolutional Neural Network agricultural monitoring agriculture algorithms anomaly intrusion detection artificial neural network autonomous robots band selection Bidirectional long-short term memory Boufakrane River watershed canopy conductance CCA chlorophyll a chlorophyll-a concentration climate change clustering CNN coastal management Coatzacoalcos Comino computer vision convolutional neural networks Copernicus Sentinels crop classification crop fields crop mapping crop yield improvement crops crops diseases cubic SVM cucumber data analysis data augmentation data fusion deep learning deep transfer learning density estimation dissolved oxygen drone entropy environmental monitoring environmental protection equal bale dimensions evapotranspiration Explainable Artificial Intelligence Faster R-CNN features fusion food security forest roads geographic information system (GIS) GIS Google Earth Engine Gozo green ring green technologies guava disease histogram hyperparameter optimization hyperspectral hyperspectral imagery hyperspectral imaging hyperspectral remoting sensing IDS image classification internet of things Internet of Things internode-elongation Interreg invasive plants IoT IoT ecosystem irrigation requirements land use land use classification Land Use/Land Cover Landsat leaf disease LISS-III machine learning machine learning algorithm machine vision Malta mango leaf mathematical model metaheuristic minimal film consumption modeling modeling approach modified normalized difference water index (MNDWI) modular robot multi-temporal data multispectral natural resources NDVI nitrate nitrogen prediction normalized difference vegetation index (NDVI) object-based classification optimal bale dimensions ordinary kriging ordinary Kriging overfitting panicle initiation path planning penman-monteith equation pest control photogrammetry plant disease detection pocket beaches precision agriculture probe proximal sensing random forest rational sampling numbers remote sensing resource constraint RF rice farming rice plant round bales sampling SAR satellite image analysis selective spraying sensor Sentinel 1 and 2 Sentinel-1a Sentinel-2 Sicily simulation site-specific site-specific weed management smart agriculture soil attribute soil pH soil tillage spatial heterogeneity spatial variation sustainable agriculture sustainable environment sustainable land use SVM Synthetic Aperture Radar (SAR) systematic literature review temperature profile time series analysis transfer learning urban flood vein pattern virtual pests Vision Transformer vision-based crop and weed detection water extraction water quality water resources weed YOLOv5 Ziz basin |
| ISBN | 3-0365-5336-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Sustainable Agriculture and Advances of Remote Sensing |
| Record Nr. | UNINA-9910619464803321 |
|
Paraforos Dimitrios
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||