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Artificial Neural Networks in Agriculture
| Artificial Neural Networks in Agriculture |
| Autore | Kujawa Sebastian |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (283 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general Technology, engineering, agriculture |
| Soggetto non controllato |
agroecology
apparent soil electrical conductivity (ECa) artificial neural network artificial neural network (ANN) artificial neural networks automated harvesting average degree of coverage big data classification CLQ CNN convolutional neural networks corn canopy cover corn plant density correlation filter coverage unevenness coefficient crop models crop yield prediction cropland mapping decision supporting systems deep learning deoxynivalenol dynamic model dynamic response dynamic time warping EBK EM38 environment Faster-RCNN ferulic acid food production GA-BPNN GPP-driven spectral model grain Grain weevil identification health high-resolution imagery high-throughput phenotyping hybrid feature extraction hydroponics image classification image identification LSTM machine learning magnetic susceptibility (MS) Medjool dates memory metric MLP network model application for sustainable agriculture modeling NARX neural networks neural image analysis neural modelling classification neural network neural networks nivalenol oil palm tree optimization paddy rice mapping Phoenix dactylifera L. plant growth precision agriculture predicting recursive feature elimination wrapper remote sensing for agriculture rice phenology root zone temperature sensitivity analysis similarity soil and plant nutrition soybean time series forecasting transfer learning UAV vegetation indices weakly supervised learning weeds winter wheat yield gap yield prediction |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557509803321 |
Kujawa Sebastian
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Geo-Informatics in Resource Management
| Geo-Informatics in Resource Management |
| Autore | Mesas Carrascosa Francisco Javier |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (206 p.) |
| Soggetto topico | Research & information: general |
| Soggetto non controllato |
21st Century Maritime Silk Road region
active fire data adaptive K-means algorithm aerial imagery agent based modeling alpine grassland analytic hierarchy process archival photographs associated influencing factors automatic identification system data b-value bearing capacity crop growth period disaster management dynamic of land use earthquake catalog EBK farmland abandonment mapping first come first serve fractional vegetation cover future scenarios geographic information system geographical information system geographical survey of national conditions GIS GLCM granulometric analysis ground survey heavy industry heat sources high severity level hotspot analysis land use mainland China maritime oil chokepoint Middle East Respiratory Syndrome multi-scale LAI product validation Natura 2000 threats natural wetlands changes night-time light data NPP-VIIRS oil flow analysis Poznań precision evaluation prelude PROSAIL model remote sensing resource allocation secondary succession monitoring seismic parameters seismicity spatial analysis spatial autocorrelation Spatial Decision Support System, CORINE Land Cover spatial pattern spatial relationship spectro-textural classification textural segmentation topsis algorithm tree detection |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557296603321 |
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Mesas Carrascosa Francisco Javier
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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