Land Use and Water Quality |
Autore | Kronvang Brian |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
Descrizione fisica | 1 electronic resource (248 p.) |
Soggetto topico |
Research & information: general
Environmental economics |
Soggetto non controllato |
nitrate
groundwater source apportionment modelling nitrogen sources leachate rate water quality machine learning recurrent neural network PCA DST software model drinking water diffuse pollution catchment management farm management farm advisors agricultural impact stream nitrogen concentration nitrogen losses eutrophication N sources spatiotemporal patterns of pollution N transport processes Qiandao Lake Basin fertilization stream water pollution land use pattern scale effect redundancy analysis urbanization nitrogen budget nitrogen balance water pollution nitrates agriculture deficit analysis phosphorus inland surface waters Water Framework Directive LAWA Schleswig-Holstein climate change land management extreme weather events concentration–discharge relationship export behaviour hysteresis lag times link indicator DPLSIR framework land use nutrients surplus management mitigation measures monitoring and mapping technologies |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557534403321 |
Kronvang Brian
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Plant-Soil Interactions |
Autore | Faucon Michel-Pierre |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (150 p.) |
Soggetto topico | Research & information: general |
Soggetto non controllato |
grapevine trunk disease
cover crops biofumigant young vine decline plant-microbe interactions functional diversity hydraulic roughness herbaceous vegetation leaf and stem functional traits plant-runoff interaction soil erosion control community weighted means functional traits soil reclamation technosols ultramafic Casuarina salinization diversity rehabilitation AM fungi plant abiotic stress biotic stress land use intensity plant-associated microbiome endophytes rhizosphere biodiversity bacteria core microbiome Pseudomonas biological nitrogen fixation nitrogen concentration nitrogen transfer 15N natural abundance |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557680303321 |
Faucon Michel-Pierre
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Remote Sensing for Precision Nitrogen Management |
Autore | Miao Yuxin |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (602 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology Environmental science, engineering & technology |
Soggetto non controllato |
UAS
multiple sensors vegetation index leaf nitrogen accumulation plant nitrogen accumulation pasture quality airborne hyperspectral imaging random forest regression sun-induced chlorophyll fluorescence (SIF) SIF yield indices upward downward leaf nitrogen concentration (LNC) wheat (Triticum aestivum L.) laser-induced fluorescence leaf nitrogen concentration back-propagation neural network principal component analysis fluorescence characteristics canopy nitrogen density radiative transfer model hyperspectral winter wheat flooded rice pig slurry aerial remote sensing vegetation indices N recommendation approach Mediterranean conditions nitrogen vertical distribution plant geometry remote sensing maize UAV multispectral imagery LNC non-parametric regression red-edge NDRE dynamic change model sigmoid curve grain yield prediction leaf chlorophyll content red-edge reflectance spectral index precision N fertilization chlorophyll meter NDVI NNI canopy reflectance sensing N mineralization farmyard manures Triticum aestivum discrete wavelet transform partial least squares hyper-spectra rice nitrogen management reflectance index multiple variable linear regression Lasso model Multiplex®3 sensor nitrogen balance index nitrogen nutrition index nitrogen status diagnosis precision nitrogen management terrestrial laser scanning spectrometer plant height biomass nitrogen concentration precision agriculture unmanned aerial vehicle (UAV) digital camera leaf chlorophyll concentration portable chlorophyll meter crop PROSPECT-D sensitivity analysis UAV multispectral imagery spectral vegetation indices machine learning plant nutrition canopy spectrum non-destructive nitrogen status diagnosis drone multispectral camera SPAD smartphone photography fixed-wing UAV remote sensing random forest canopy reflectance crop N status Capsicum annuum proximal optical sensors Dualex sensor leaf position proximal sensing cross-validation feature selection hyperparameter tuning image processing image segmentation nitrogen fertilizer recommendation supervised regression RapidSCAN sensor nitrogen recommendation algorithm in-season nitrogen management nitrogen use efficiency yield potential yield responsiveness standard normal variate (SNV) continuous wavelet transform (CWT) wavelet features optimization competitive adaptive reweighted sampling (CARS) partial least square (PLS) grapevine hyperparameter optimization multispectral imaging precision viticulture RGB multispectral coverage adjusted spectral index vegetation coverage random frog algorithm active canopy sensing integrated sensing system discrete NIR spectral band data soil total nitrogen concentration moisture absorption correction index particle size correction index coupled elimination |
ISBN | 3-0365-5710-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910637794503321 |
Miao Yuxin
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Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
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Lo trovi qui: Univ. Federico II | ||
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