Info
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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Sustainable Circular Bioeconomy
| Sustainable Circular Bioeconomy |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (234 p.) |
| Soggetto topico |
History of engineering and technology
Industry and industrial studies Technology: general issues |
| Soggetto non controllato |
agro-industrial companies
agro-industry alternative diet for swine apparel apparel consumer behavior aquafarming aqueous two-phase systems (ATPS) bioeconomy bioeconomy strategy biofuels biomass byproduct diet circular economy lens circular textiles clothing industry cocoa bean shell (CBS) computable general equilibrium date palm drying DDGS decision-support tool digitalization economic evaluation excellence models fishponds food-water-soil-ecosystem nexus freshwater ecosystem web model Gini coefficient global warming potential Google Earth Engine governance green consumer green fashion Green GDP horizon scanning hybrid solar dryer illegal fishponds import dependency income inequality India's largest freshwater lake innovative solutions Kashmir Himalayas Kolleru Lake land expansion land use life cycle impact assessment life cycle thinking of textiles liquid-liquid extraction (LLE) livelihood Lorenz curve material flow mindful clothing consumption n/a natural products new business NTFP NWFP oyster mushroom Phoenix dactylifera L. platform-based bioeconomy policy coherence policy framework precipitation pressurized hot water extraction (PHWE) productivity PV winnower quality responsible consumption self-sufficiency smart and sustainable development solar dryer solid-liquid extraction (SLE) standard corn-soybean meal strategic development sustainable development sustainable fashion sustainable garments total phenolic content (TPC) wastes Water-Energy-Food nexus |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743269203321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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