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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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Remote Sensing of Land Surface Phenology
| Remote Sensing of Land Surface Phenology |
| Autore | Ma Xuanlong |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (276 p.) |
| Soggetto topico |
Environmental science, engineering and technology
History of engineering and technology Technology: general issues |
| Soggetto non controllato |
arctic
autumn phenology carbon cycle carbon exchange climate change climate changes climatic limitation contribution crop sowing date data suitability development stage different drivers digital camera driving factors enhanced vegetation index evapotranspiration Google Earth Engine GPP gross primary production Hangzhou high elevation human activities land surface phenology land surface temperature MODIS Mongolian oak n/a NDPI NDVI Northeast China phenology photosynthesis plant phenology process-based model Qilian Mountains Qinghai-Tibetan Plateau random forest model remote sensing sap flow satellite data seasonally dry tropical forest snow cover snow phenology soil moisture solar-induced chlorophyll fluorescence spatial scaling effects spatiotemporal dynamics spatiotemporal patterns spatiotemporal variations structural equation model the Loess Plateau Three-River Headwaters region turning point urban heat island effect urbanization vegetation dynamics vegetation indexes vegetation phenology water use efficiency yield gap yield potential |
| ISBN | 3-0365-5326-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910619465703321 |
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Ma Xuanlong
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| MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Site-Specific Nutrient Management
| Site-Specific Nutrient Management |
| Autore | Grzebisz Witold |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (224 p.) |
| Soggetto topico |
Biology, life sciences
Research and information: general Technology, Engineering, Agriculture, Industrial processes |
| Soggetto non controllato |
a field
B Beta vulgaris L. biological index fertility calcium cardinal stages of WOSR growth chlorophyll content index climatic potential yield contents of available phosphorus crop production crop yield crude protein content economics farmyard manure field grain yield homogenous productivity units indices of N productivity indigenous Nmin at spring magnesium maximum photochemical efficiency of photosystem II microelements fertilization (Ti mineral fertilizers mineral N Mo N balance N efficiency N gap N input N total uptake N uptake NDVI net return nitrate nitrogen content nitrogen indicators: in-season nitrogen use efficiency nitrogenase activity normalized difference vegetation index (NDVI) number of spikes on-the-go sensors organic manure PCA post-harvest Nmin potassium regional optimal nitrogen management remote sensing-techniques satellite remote sensing seed density Si site-specific nitrogen management site-specific nutrient management soil soil brightness soil chemistry soil constraints soil enzymatic activity soil fertility soil properties, site-specific requirements spatial spatial variability spectral imagery subsoil sugar concentration sustainability temporal variability Triticum aestivum L. vegetation indices vertical variability of N demand and supply weather conditions winter oilseed rape → winter triticale cropping sequence winter triticale winter wheat yield yield gap Zn) |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566459003321 |
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Grzebisz Witold
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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