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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 electronic resource (324 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
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 |
| 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 |
Paraforos Dimitrios
|
||
| 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 electronic resource (322 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
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 |
| 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 | ||
| ||
UAVs for Vegetation Monitoring
| UAVs for Vegetation Monitoring |
| Autore | de Castro Megías Ana |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (452 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
UAS
UAV vegetation cover multispectral land cover forest Acacia Indonesia tropics vegetation ground cover vegetation indices agro-environmental measures olive groves southern Spain sUAS water stress ornamental container-grown artificial intelligence machine learning deep learning neural network visual recognition precision agriculture canopy cover image analysis crop mapping evapotranspiration (ET) GRAPEX remote sensing Two Source Energy Balance model (TSEB) contextual spatial domain/resolution data aggregation eddy covariance (EC) Fusarium wilt crop disease banana multispectral remote sensing purple rapeseed leaves unmanned aerial vehicle U-Net plant segmentation nitrogen stress Glycine max RGB canopy height close remote sensing growth model curve fitting NDVI solar zenith angle flight altitude time of day operating parameters CNN Faster RCNN SSD Inception v2 patch-based CNN MobileNet v2 detection performance inference time disease detection cotton root rot plant-level single-plant plant-by-plant classification UAV remote sensing crop monitoring RGB imagery multispectral imagery century-old biochar semantic segmentation random forest crop canopy multispectral image chlorophyll content remote sensing technique individual plant segmentation plant detection transfer learning maize tassel tassel branch number convolution neural network VGG16 plant nitrogen estimation vegetation index image segmentation transpiration method comparison oil palm multiple linear regression support vector machine artificial neural network UAV hyperspectral wheat yellow rust disease monitoring texture spatial resolution RGB camera thermal camera drought tolerance forage grass HSV CIELab broad-sense heritability phenotyping gap high throughput field phenotyping UAV digital images winter wheat biomass multiscale textures red-edge spectra least squares support vector machine variable importance drone hyperspectral thermal nutrient deficiency weed detection disease diagnosis plant trails |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557661103321 |
|
de Castro Megías Ana
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||