| Nome |
# |
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Sviluppo del nuovo sistema di supporto alle decisioni per la gestione della distribuzione dei reflui in Lombardia = Development of the new regional decision support system for the management of livestock manure distribution in Lombardy, file 23ef0f9b-9087-4de4-8d0c-84efa9fb4687
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364
|
|
May smart technologies reduce the environmental impact of nitrogen fertilization? A case study for paddy rice, file dfa8b9a2-9877-748b-e053-3a05fe0a3a96
|
285
|
|
Analysis and modeling of processes involved with salt tolerance and rice, file dfa8b99e-b0dd-748b-e053-3a05fe0a3a96
|
202
|
|
Predicting rice blast disease: machine learning versus process-based models, file dfa8b9a0-221e-748b-e053-3a05fe0a3a96
|
148
|
|
New multi-model approach gives good estimations of wheat yield under semi-arid climate in Morocco, file dfa8b994-ffdd-748b-e053-3a05fe0a3a96
|
141
|
|
Incorporating biodiversity into biogeochemistry models to improve prediction of ecosystem services in temperate grasslands: Review and roadmap, file dfa8b9a1-5b7d-748b-e053-3a05fe0a3a96
|
134
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Estimating crop nutritional status using smart apps to support nitrogen fertilization. A case study on paddy rice, file dfa8b99e-d976-748b-e053-3a05fe0a3a96
|
129
|
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An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps, file dfa8b9a2-f749-748b-e053-3a05fe0a3a96
|
125
|
|
Quantifying Uncertainty Due to Stochastic Weather Generators in Climate Change Impact Studies, file dfa8b99e-e400-748b-e053-3a05fe0a3a96
|
122
|
|
Trait-based model development to support breeding programs : A case study for salt tolerance and rice, file dfa8b99a-fad2-748b-e053-3a05fe0a3a96
|
111
|
|
Tailoring parameter distributions to specific germplasm : impact on crop model-based ideotyping, file dfa8b9a0-79c9-748b-e053-3a05fe0a3a96
|
94
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Life Cycle Assessment of alternative water managements for rice cultivation, file dfa8b9a7-722e-748b-e053-3a05fe0a3a96
|
92
|
|
Causes of variation among rice models in yield response to CO2 examined with Free-Air CO2 Enrichment and growth chamber experiments, file dfa8b99b-2eb6-748b-e053-3a05fe0a3a96
|
83
|
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Analysis of the Similarity between in Silico Ideotypes and Phenotypic Profiles to Support Cultivar Recommendation: A Case Study on Phaseolus vulgaris L., file dfa8b9a4-0677-748b-e053-3a05fe0a3a96
|
76
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Characterizing Genotype-Specific Rice Architectural Traits Using Smart Mobile App and Data Modeling, file dfa8b9a8-fe7b-748b-e053-3a05fe0a3a96
|
76
|
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Analisi e modellizzazione dell'effetto di agrotecniche sull'altezza della pianta : il progetto MIATA, file dfa8b991-bd5e-748b-e053-3a05fe0a3a96
|
66
|
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Analisi del ciclo di vita di differenti gestioni della sommersione in risicoltura, file dfa8b9a7-c19f-748b-e053-3a05fe0a3a96
|
65
|
|
Quantifying the accuracy of digital hemispherical photography for LAI estimates on broad-leaved tree species, file dfa8b99b-17a9-748b-e053-3a05fe0a3a96
|
62
|
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Evaluation of calibration strategies for rice modelling, file dfa8b9a1-56c8-748b-e053-3a05fe0a3a96
|
58
|
|
Ideotype definition to adapt legumes to climate change : A case study for field pea in Northern Italy, file dfa8b9a2-549e-748b-e053-3a05fe0a3a96
|
58
|
|
Life Cycle Assessment of an Alternative Method of Water Management to Reduce the Environmental Impact of Italian Rice Cultivation, file ee0a15fd-c380-4d9f-9ead-20e8337076e2
|
58
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Quest for barley canopy architecture genes in the hortillus population and whealbi germplasm collection, file dfa8b9a0-29e6-748b-e053-3a05fe0a3a96
|
33
|
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Decomposing complex traits through crop modelling to support cultivar recommendation. A proof of concept with focus on phenology and field pea, file dfa8b9aa-05d3-748b-e053-3a05fe0a3a96
|
33
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Exploring natural and induced variations for the genetic improvement of barley biomass and yield, file dfa8b9a0-0614-748b-e053-3a05fe0a3a96
|
29
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Setting-up of different water managements as mitigation strategy of the environmental impact of paddy rice, file dfa8b9a8-02c4-748b-e053-3a05fe0a3a96
|
19
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|
Uncertainties in predicting rice yield by current crop models under a wide range of climatic conditions, file dfa8b997-45e5-748b-e053-3a05fe0a3a96
|
9
|
|
Reimplementation and reuse of the Canegro model : from sugarcane to giant reed, file dfa8b998-733d-748b-e053-3a05fe0a3a96
|
8
|
|
An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps, file dfa8b99e-d7ac-748b-e053-3a05fe0a3a96
|
8
|
|
GLORIFY : a new forecasting system for rice grain quality in Northern Italy, file dfa8b99e-c93a-748b-e053-3a05fe0a3a96
|
7
|
|
Impacts of climate change on semi-natural alpine pastures productivity and floristic composition, file 34cfe2d6-3d19-4d98-b48d-9cf74c3270b7
|
6
|
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In-silico evaluation of giant reed productivity in a changing climate: the case of Lombardy plain in Northern Italy, file dfa8b992-30c7-748b-e053-3a05fe0a3a96
|
6
|
|
Simulazione dell'impatto dei cambiamenti climatici sugli aspetti quali-quantitativi delle produzioni risicole in America Latina, file dfa8b991-80d0-748b-e053-3a05fe0a3a96
|
5
|
|
Are advantages from the partial replacement of corn with second-generation energy crops undermined by climate change? A case study for giant reed in northern Italy, file dfa8b994-c909-748b-e053-3a05fe0a3a96
|
5
|
|
District specific, in silico evaluation of rice ideotypes improved for resistance/tolerance traits to biotic and abiotic stressors under climate change scenarios, file dfa8b994-e485-748b-e053-3a05fe0a3a96
|
5
|
|
A statistical analysis of three ensembles of crop model responses to temperature and CO2 concentration, file dfa8b997-4ca3-748b-e053-3a05fe0a3a96
|
5
|
|
May smart technologies reduce the environmental impact of nitrogen fertilization? A case study for paddy rice, file dfa8b9a1-4093-748b-e053-3a05fe0a3a96
|
5
|
|
A new digital technology to reduce fungicide use in vineyards, file 7ec35aff-d89e-4e97-afe9-79923c99bf6d
|
4
|
|
Estimating plant nitrogen content in tomato using a smartphone, file b66e290e-df39-47cb-aae3-eb57e75e655f
|
4
|
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Estimating leaf area index in tree species using the PocketLAI smart app, file dfa8b995-6c3f-748b-e053-3a05fe0a3a96
|
4
|
|
Boundaries and perspectives from a multi-model study on rice grain quality in Northern Italy, file dfa8b99a-f6e5-748b-e053-3a05fe0a3a96
|
4
|
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An improved version of WOFOST for the simulation of quantitative and qualitative aspects of winter rapeseed production, file dfa8b992-2586-748b-e053-3a05fe0a3a96
|
3
|
|
Forecasting sugarcane yields using agro-climatic indicators and Canegro model : a case study in the main production region in Brazil, file dfa8b998-9f88-748b-e053-3a05fe0a3a96
|
3
|
|
PocketPlant3D: Analysing canopy structure using a smartphone, file dfa8b99a-2275-748b-e053-3a05fe0a3a96
|
3
|
|
A high-resolution, integrated system for rice yield forecasting at district level, file dfa8b99e-a2fe-748b-e053-3a05fe0a3a96
|
3
|
|
Development of generic crop models for simulation of multi-species plant communities in mown grasslands, file dfa8b99e-a300-748b-e053-3a05fe0a3a96
|
3
|
|
Supporting operational site‐specific fertilization in rice cropping systems with infield smartphone measurements and Sentinel-2 observations, file dfa8b9a8-29e9-748b-e053-3a05fe0a3a96
|
3
|
|
Integration of Genomics with Crop Modeling for Predicting Rice Days to Flowering : A Multi-Model Analysis, file dfa8b9a8-f43c-748b-e053-3a05fe0a3a96
|
3
|
|
Impact of agromanagement practices on rice elongation: Analysis and modelling, file dfa8b992-280f-748b-e053-3a05fe0a3a96
|
2
|
|
Combining systems analysis tools for the integrated assessment of scenarios in rice production systems at different scales, file dfa8b995-018d-748b-e053-3a05fe0a3a96
|
2
|
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Uncertainty in crop model predictions : What is the role of users?, file dfa8b997-1988-748b-e053-3a05fe0a3a96
|
2
|
|
Sensitivity analysis of a sensitivity analysis : We are likely overlooking the impact of distributional assumptions, file dfa8b997-32e9-748b-e053-3a05fe0a3a96
|
2
|
|
WOFOST-GTC : A new model for the simulation of winter rapeseed production and oil quality, file dfa8b998-4040-748b-e053-3a05fe0a3a96
|
2
|
|
Multitemporal monitoring of plant area index in the valencia rice district with PocketLAI, file dfa8b998-8019-748b-e053-3a05fe0a3a96
|
2
|
|
Downstream Services for Rice Crop Monitoring in Europe : From Regional to Local Scale, file dfa8b998-93ec-748b-e053-3a05fe0a3a96
|
2
|
|
Improving cereal yield forecast in Europe - the impact of weather extremes, file dfa8b99a-d863-748b-e053-3a05fe0a3a96
|
2
|
|
PocketLAI: una smart-app per la determinazione in vigneto dei valori di LAI, file dfa8b99c-af7f-748b-e053-3a05fe0a3a96
|
2
|
|
Downscaling rice yield simulation at sub-field scale using remotely sensed LAI data, file dfa8b99e-a2ff-748b-e053-3a05fe0a3a96
|
2
|
|
Ideotype definition to adapt legumes to climate change : A case study for field pea in Northern Italy, file dfa8b9a2-581a-748b-e053-3a05fe0a3a96
|
2
|
|
Ideotype definition to adapt legumes to climate change : A case study for field pea in Northern Italy, file dfa8b9a2-9e7a-748b-e053-3a05fe0a3a96
|
2
|
|
Sensitivity analysis using Morris: Just screening or an effective ranking method?, file dfa8b9a8-29d8-748b-e053-3a05fe0a3a96
|
2
|
|
Supporting operational site‐specific fertilization in rice cropping systems with infield smartphone measurements and Sentinel-2 observations, file dfa8b9a8-7881-748b-e053-3a05fe0a3a96
|
2
|
|
A new approach for modeling crop-weed interaction targeting management support in operational contexts: A case study on the rice weeds barnyardgrass and red rice, file dfa8b9a8-d0a4-748b-e053-3a05fe0a3a96
|
2
|
|
Risicoltura sostenibile : Un protocollo per gestire la sommersione, file dfa8b9a8-d2cb-748b-e053-3a05fe0a3a96
|
2
|
|
Quantifying water stress in vineyards using a smartphone, file 1ac10523-f86c-4f23-ac81-91e16d37d65e
|
1
|
|
Model simplification and development via reuse, sensitivity analysis and composition : a case study in crop modelling, file dfa8b991-8836-748b-e053-3a05fe0a3a96
|
1
|
|
Impact of climate change on the sustainability of cereal-livestock farming in the Lombardy region (Northern Italy), file dfa8b992-260f-748b-e053-3a05fe0a3a96
|
1
|
|
Development of a prototype to forecast rice yields and grain quality in the Northern Italian district, file dfa8b994-c913-748b-e053-3a05fe0a3a96
|
1
|
|
ISIde : A rice modelling platform for in silico ideotyping, file dfa8b997-408b-748b-e053-3a05fe0a3a96
|
1
|
|
Estimating Leaf Area Index (LAI) in Vineyards Using the PocketLAI Smart-App, file dfa8b997-f361-748b-e053-3a05fe0a3a96
|
1
|
|
Designing ecological corridors in a fragmented landscape : A fuzzy approach to circuit connectivity analysis, file dfa8b998-070f-748b-e053-3a05fe0a3a96
|
1
|
|
Coupling a generic disease model to the WARM rice simulator to assess leaf and panicle blast impacts in a temperate climate, file dfa8b998-07c5-748b-e053-3a05fe0a3a96
|
1
|
|
A model to simulate the dynamics of carbohydrate remobilization during rice grain filling, file dfa8b998-0a1c-748b-e053-3a05fe0a3a96
|
1
|
|
Surfing parameter hyperspaces under climate change scenarios to design future rice ideotypes, file dfa8b998-650d-748b-e053-3a05fe0a3a96
|
1
|
|
A taxonomy-based approach to shed light on the babel of mathematical models for rice simulation, file dfa8b998-9465-748b-e053-3a05fe0a3a96
|
1
|
|
Quantifying uncertainty in crop model predictions due to the uncertainty in the observations used for calibration, file dfa8b998-bf49-748b-e053-3a05fe0a3a96
|
1
|
|
Sensitivity of WOFOST-based modelling solutions to crop parameters under climate change, file dfa8b99a-d864-748b-e053-3a05fe0a3a96
|
1
|
|
Analysis and modeling of processes involved with salt tolerance and rice, file dfa8b99e-c94d-748b-e053-3a05fe0a3a96
|
1
|
|
Comparison of three calibration methods for modeling rice phenology, file dfa8b9a0-392d-748b-e053-3a05fe0a3a96
|
1
|
|
Setting-up of different water managements as mitigation strategy of the environmental impact of paddy rice, file dfa8b9a7-c243-748b-e053-3a05fe0a3a96
|
1
|
|
Genotype-specific models for leaf architecture as affected by leaf position and age. Model development and parameterisation using smartphone-based 3D plant scans, file dfa8b9a9-77c0-748b-e053-3a05fe0a3a96
|
1
|
|
Biophysical models and meta-modelling to reduce the basis risk in index-based insurance: A case study on winter cereals in Italy, file dfa8b9a9-87d4-748b-e053-3a05fe0a3a96
|
1
|
|
A trait-based model ensemble approach to design rice plant types for future climate, file dfa8b9a9-dfd7-748b-e053-3a05fe0a3a96
|
1
|
| Totale |
2.820 |