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New Traits of Agriculture/Food Quality Interface
| New Traits of Agriculture/Food Quality Interface |
| Autore | Durazzo Alessandra |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (214 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Food & society |
| Soggetto non controllato |
herbal medicinal product
dried extract spouted bed drying antioxidant activity Rosmarinus officinalis powder properties Manzanilla Tefahi Gelb Elfarroudj cultivar secoiridoids radical scavenging UHPLC-HESI-MS phenolics phenolic compounds resveratrol linear discriminant analysis production-maturation mode discrimination amino acids fatty acids oil protein starch Zea mays L. camu-camu powder meat pH S. enterica ser. Typhimurium spoilage bacteria TBARS rapeseed/wheat-rice rotation system nitrogen management rice yield rice quality sugars carotenoids phenolic antioxidants nutritional quality high temperature NaCl nitrogen fertilizer japonica rice cultivars grain quality starch physicochemical properties honey physicochemical properties colour minerals trace elements ferric reducing-antioxidant power assay radical scavenging activity spring wheat organic agriculture Fusarium spp mycotoxins quality of grain flour yield technological value microbiomics soil metagenomics DNA sequencing wilt rot Punica granatum metrology agriculture food biodiversity literature quantitative analysis antioxidant properties bee products propolis plant sources medicinal plants |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576871703321 |
Durazzo Alessandra
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Remote Sensing in Agriculture: State-of-the-Art
| Remote Sensing in Agriculture: State-of-the-Art |
| Autore | Borgogno-Mondino Enrico |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
| Soggetto non controllato |
feature selection
spectral angle mapper support vector machine support vector regression hyperspectral imaging UAV cross-scale yellow rust spatial resolution winter wheat MODIS northern Mongolia remote sensing indices spring wheat yield estimation UAV-based LiDAR biomass crop height field phenotyping oasis crop type mapping Sentinel-1 and 2 integration statistically homogeneous pixels (SHPs) red-edge spectral bands and indices recursive feature increment (RFI) random forest (RF) unmanned aerial vehicles (UAVs) remote sensing (RS) thermal UAV RS thermal infrared (TIR) precision agriculture (PA) crop water stress monitoring plant disease detection vegetation status monitoring Landsat data blending crop yield prediction gap-filling volumetric soil moisture synthetic aperture radar (SAR) Sentinel-1 soil moisture semi-empirical model soil moisture Karnataka India reflectance digital number (DN) vegetation index (VI) Parrot Sequoia (Sequoia) DJI Phantom 4 Multispectral (P4M) Synthetic Aperture Radar SAR lodging Hidden Markov Random Field HMRF CDL corn soybean crop Monitoring crop management apple orchard damage polarimetric decomposition entropy anisotropy alpha angle storm damage mapping economic loss insurance support |
| ISBN | 3-0365-5484-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Remote Sensing in Agriculture |
| Record Nr. | UNINA-9910637779903321 |
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Borgogno-Mondino Enrico
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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