Search Results - "Schillaci, Calogero"

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  1. 1

    Automatic blight disease detection in potato (Solanum tuberosum L.) and tomato (Solanum lycopersicum, L. 1753) plants using deep learning by Anim-Ayeko, Alberta Odamea, Schillaci, Calogero, Lipani, Aldo

    Published in Smart agricultural technology (01-08-2023)
    “…Early and late blight are two diseases which pose a huge risk to both potato (Solanum tuberosum L.) and tomato (Solanum lycopersicum, L. 1753) crops and make…”
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    Journal Article
  2. 2

    Snow detection in alpine regions with Convolutional Neural Networks: discriminating snow from cold clouds and water body by Lu, Yichen, James, Thomas, Schillaci, Calogero, Lipani, Aldo

    Published in GIScience and remote sensing (31-12-2022)
    “…Accurately monitoring the variation of snow cover from remote sensing is vital since it assists in various fields including prediction of floods, control of…”
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    Journal Article
  3. 3

    Micro- and nanoplastics in soils: Tracing research progression from comprehensive analysis to ecotoxicological effects by Liu, Hongdou, Cui, Lizhen, Li, Tong, Schillaci, Calogero, Song, Xiufang, Pastorino, Paolo, Zou, Hongtao, Cui, Xiaoyong, Xu, Zhihong, Fantke, Peter

    Published in Ecological indicators (01-12-2023)
    “…•A decade of rising global interest in soil micro- and nanoplastics (MNPs) pollution.•Seven significant research clusters identified through keyword and…”
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    Journal Article
  4. 4

    Field Crop Responses and Management Strategies to Mitigate Soil Salinity in Modern Agriculture: A Review by Alkharabsheh, Hiba M., Seleiman, Mahmoud F., Hewedy, Omar A., Battaglia, Martin L., Jalal, Rewaa S., Alhammad, Bushra A., Schillaci, Calogero, Ali, Nawab, Al-Doss, Abdullah

    Published in Agronomy (Basel) (01-11-2021)
    “…The productivity of cereal crops under salt stress limits sustainable food production and food security. Barley followed by sorghum better adapts to salinity…”
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    Journal Article
  5. 5

    Fallen apple detection as an auxiliary task: Boosting robotic apple detection performance through multi-task learning by Zhao, Jiayi, Lipani, Aldo, Schillaci, Calogero

    Published in Smart agricultural technology (01-08-2024)
    “…In modern agricultural practices, advanced machine learning techniques play a pivotal role in optimizing yields and management. A significant challenge in…”
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    Journal Article
  6. 6

    Predictive Mapping of Electrical Conductivity and Assessment of Soil Salinity in a Western Türkiye Alluvial Plain by Kaya, Fuat, Schillaci, Calogero, Keshavarzi, Ali, Başayiğit, Levent

    Published in Land (Basel) (01-12-2022)
    “…The increase in soil salinity due to human-induced processes poses a severe threat to agriculture on a regional and global scale. Soil salinization caused by…”
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    Journal Article
  7. 7

    Borough-level COVID-19 forecasting in London using deep learning techniques and a novel MSE-Moran’s I loss function by Olsen, Frederik, Schillaci, Calogero, Ibrahim, Mohamed, Lipani, Aldo

    Published in Results in physics (01-04-2022)
    “…Following its identification in late 2019, COVID-19 has spread around the globe, and been declared a pandemic. With this in mind, modelling the spread of…”
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    Journal Article
  8. 8

    48-year effect on organic carbon and nitrogen stocks in two soil types in northwestern Tunisia by Tlili, Ahlem, Dridi, Imene, Saia, Sergio, Schillaci, Calogero

    Published in Arabian journal of geosciences (01-04-2022)
    “…Information on spatial and temporal changes in the soil organic carbon (SOC) and soil total nitrogen (STN) stocks are crucial to support sustainable land…”
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  10. 10

    Validating the regional estimates of changes in soil organic carbon by using the data from paired-sites: the case study of Mediterranean arable lands by Schillaci, Calogero, Saia, Sergio, Lipani, Aldo, Perego, Alessia, Zaccone, Claudio, Acutis, Marco

    Published in Carbon balance and management (07-06-2021)
    “…Background Legacy data are unique occasions for estimating soil organic carbon (SOC) concentration changes and spatial variability, but their use showed…”
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  11. 11

    Assessment of hail damages in maize using remote sensing and comparison with an insurance assessment: A case study in Lombardy by Schillaci, Calogero, Inverardi, Fabio, Battaglia, Martin Leonardo, Perego, Alessia, Thomason, Wade, Acutis, Marco

    Published in Italian journal of agronomy (30-12-2022)
    “…Studies have shown that the quantification of hail damage is generally inaccurate and is influenced by the experience of the field surveyors/technicians. To…”
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  12. 12

    Computation of total soil organic carbon stock and its standard deviation from layered soils by Tadiello, Tommaso, Perego, Alessia, Valkama, Elena, Schillaci, Calogero, Acutis, Marco

    Published in MethodsX (01-01-2022)
    “…To assess carbon sequestration in the agricultural and natural systems, it is usually required to report soil organic carbon (SOC) as mass per unit area (Mg…”
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  13. 13

    A Probabilistic Assessment of Soil Erosion Susceptibility in a Head Catchment of the Jemma Basin, Ethiopian Highlands by Cama, Mariaelena, Schillaci, Calogero, Kropáček, Jan, Hochschild, Volker, Bosino, Alberto, Märker, Michael

    Published in Geosciences (Basel) (01-07-2020)
    “…Soil erosion represents one of the most important global issues with serious effects on agriculture and water quality, especially in developing countries, such…”
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  14. 14

    Bibliometric Analysis of Soil and Landscape Stability, Sensitivity and Resistivity by Bettoni, Manuele, Maerker, Michael, Bosino, Alberto, Schillaci, Calogero, Vogel, Sebastian

    Published in Land (Basel) (01-08-2022)
    “…In times of global change, it is of fundamental importance to understand the sensitivity, stability and resistivity of a landscape or ecosystem to human…”
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  15. 15

    Deep Learning Based Burnt Area Mapping Using Sentinel 1 for the Santa Cruz Mountains Lightning Complex (CZU) and Creek Fires 2020 by Luft, Harrison, Schillaci, Calogero, Ceccherini, Guido, Vieira, Diana, Lipani, Aldo

    Published in Fire (Basel, Switzerland) (01-10-2022)
    “…The study presented here builds on previous synthetic aperture radar (SAR) burnt area estimation models and presents the first U-Net (a convolutional network…”
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  16. 16

    Flood susceptibility assessment using artificial neural networks in Indonesia by Priscillia, Stela, Schillaci, Calogero, Lipani, Aldo

    Published in Artificial intelligence in geosciences (01-12-2021)
    “…Flood incidents can massively damage and disrupt a city economic or governing core. However, flood risk can be mitigated through event planning and city-wide…”
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  17. 17

    Climate and environmental data contribute to the prediction of grain commodity prices using deep learning by Wang, Zilin, French, Niamh, James, Thomas, Schillaci, Calogero, Chan, Faith, Feng, Meili, Lipani, Aldo

    “…Abstract Background Grain commodities are important to people's daily lives and their fluctuations can cause instability for households. Accurate prediction of…”
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  18. 18

    Calibration and Validation of AQUACROP and APSIM Models to Optimize Wheat Yield and Water Saving in Arid Regions by Kheir, Ahmed M. S., Alkharabsheh, Hiba M., Seleiman, Mahmoud F., Al-Saif, Adel M., Ammar, Khalil A., Attia, Ahmed, Zoghdan, Medhat G., Shabana, Mahmoud M. A., Aboelsoud, Hesham, Schillaci, Calogero

    Published in Land (Basel) (01-12-2021)
    “…The APSIM-Wheat and AQUACROP models were calibrated for the Sakha 95 cultivar using phenological data, grain and biomass yield, and genetic parameters based on…”
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  19. 19

    Compost as an Alternative to Inorganic Fertilizers in Cowpea [Vigna unguiculata (L.) Walp.] Production by Diatta, Andre A., Kanfany, Ghislain, Camara, Boubacar, Bassène, César, Manga, Anicet G. B., Seleiman, Mahmoud, Mbow, Cheikh, Schillaci, Calogero

    Published in Legume science (01-09-2024)
    “…ABSTRACT Soil fertility management is essential to sustain agricultural production in smallholder farming systems. An experiment was carried out to assess the…”
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  20. 20

    Morphometric terrain analysis to explore present day geohazards and paleolandscape forms and features in the surroundings of the Melka Kunture prehistoric site, Upper Awash Valley, Central Ethiopia by Michael Maerker, Calogero Schillaci, Jan Kropáček

    Published in Acta Universitatis Carolinae. Geographica (06-06-2018)
    “…Morphometric Terrain Analysis was successfully applied in different sectors of environmental studies. However, other disciplines, such as archaeology, might…”
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