Session | ||
Poster2: Poster Session with Social Event
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Presentations | ||
AFRI4CAst - Supporting Food Security and Food Safety in Africa AgroApps SA, Greece Data centric solutions to applied crop type classification at scale Regrow Ag EOCROP: Towards a digital twin of cropping systems based on ingestion of EO into process-based crop models 1University of Southampton, United Kingdom; 2The University of York,United Kingdom; 3Aganalyst Limited,United Kingdom; 4CSIRO, Australia; 5University of Queensland, Australia; 6University of Sydney, Australia Using a boundary guided multi-task model for agricultural parcel delineation from remote sensing images. 1State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; 2College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; 3College of Resources and Environment, Hubei University, Wuhan, 430062, China Advancing agriculture: leveraging Earth Observation and Agro-Ecological Zoning (AEZ) modeling 1Food and Agriculture Organization of the United Nations (FAO), Rome, Italy; 2International Institute for Applied Systems Analysis (IIASA) Laxenburg, Austria; 3Asian Institute of Technology (AIT), Bangkok, Thailand Estimation of winter cereals yield exploiting remotely derived phenometrics from LAI time-series national research council, Italy Machine learning-based detection of wheat lodging score using hyperspectral measurements Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands Satellite-based customer complaints management tool for the potato industry GEO4A, Netherlands, The Assessment of drought impact on grasslands productivity in Wallonia using Sentinel-2 multiannual time series 1Walloon Agricultural Research Centre, Belgium; 2Université Catholique de Louvain, Belgium Harnessing Data-Driven Models for Agricultural Drought Monitoring through the integration of remote sensing, ground data and meteo-climatic variables: first results 1Sapienza, University of Rome, Italy; 2Sapienza School for Advanced Studies, Sapienza University of Rome, Italy; 3Institute of Services for the Agricultural and Food Market (ISMEA) - Agricultural Risk Management Department; 4Italian Space Agency (ASI), Italy Subnational Statistics from Field-Level Yield Estimation and Forecast: Evaluation of Models Ingesting Sentinel-2 Data. 1UCLouvain, Belgium; 2JRC EU-Commission, ISPRA, Italy Enhancing WorldCereal global wheat crop calendars: A Integration of remote sensing data with phenological modeling 1University of Valencia, Spain; 2Department of Geographical Sciences, University of Maryland, College Park, MD, USA; 3Vlaamse Instelling Technologisch Onderzoek (VITO), Mol, Belgium Upscaling and downscaling approaches for early season rice yield prediction using Sentinel-2 and machine learning for precision nitrogen fertilisation Università Cattolica del Sacro Cuore, Italy Irrigation monitoring from space: a novel method assimilating high-resolution Sentinel-1 soil moisture data into a crop water balance model and prospects for future research 1Department of Geodesy and Geoinformation, TU Wien, Vienna, Austria; 2Centre d’Etudes Spatiales de la Biosphère (CESBIO), Université de Toulouse, CNES-CNRS-IRD-UPS-INRAE, Toulouse, France; 3isardSAT, Marie Curie 8-14, Parc Tecnològic Barcelona Activa, Barcelona, Spain; 4Soils and Water Research group, Universitat de Lleida, Lleida, Spain; 5GMME/SURFACE, Meteo-France/CNRM, Toulouse, France; 6Laboratoire des Sciences du Climat et de l’Environnement, CEA-CNRS-UVSQ-UPSACLAY, UMR 8212, IPSL, Gif-sur-Yvette, France Detecting land use change and defining agricultural land loss in recent years in the case of urbanisation: A case study of Northern Cyprus 1Department of Architecture, Near East University, Nicosia, North Cyprus; 2Department of Geodetic and Geographic Information Technology, Middle East Technical University, Ankara, Turkey Development of rice and wheat crop masks over the Gharbia governorate in Egypt using Sen2like images. 1Global Change Unit, Parc Científic, University of València (Paterna), 4498, Spain; 2Dept of Geographical Sciencies, Univesity of Maryland, College Park MD 20742, United States; 3Faculty of Agriculture, University of Tanta, 31527 Tanta, Egypt Applicability of spectral heterogeneity for measuring crop diversity in two agroforestry systems Potsdam Institute for Climate Impact Research, Germany Leveraging Earth Observation for estimating the Global Burden of Crop Loss 1CABI, United Kingdom; 2University of Maryland, USA; 3Assimila, UK; 4University of Exeter, UK Salinity and water stress captured by satellite leaf area index and land surface temperature assimilated into a crop-energy-water balance model 1Politecnico di Milano, Italy; 2DAFNAE, Università di Padova, Italy; 3ICEA, Università di Padova, Italy; 4Universitat de Valencia, Spain COMPASS – A decision support system for irrigation scheduling for wheat farmers from Northwest Mexico 1Independent Consultant, Italy; 2The James Hutton Institute, Craigie buckler, Aberdeen AB15 8QH, UK.; 3International Maize and Wheat Improvement Centre (CIMMYT), El Batan, Mexico.; 4Hexcuity Limited, Bee House 140 Eastern Avenue, Milton Park, Abingdon, Oxfordshire, England, OX14 4SB; 5University of Nottingham, School of Biosciences, Sutton Bonington, LE12 5RD, UK. Early-season crop yield prediction using high-resolution satellite data and crop models: from sub-field to regional level HYDROSAT, Luxembourg Innovative operational services and research activities combining earth observation data and AI in Norway NIBIO, Norway Prediction of Species Richness and Diversity in Sub-alpine Grasslands Using Satellite Remote Sensing and Random Forest Machine Learning Algorithm University of the Free State, South Africa Sentinel-2 data fusion with GEOSAT 2 very high resolution data GEOSAT Satellites, Spain Assessing Water Use Efficiency in Agroecosystems Using High-Resolution Satellite Data: A Case Study of Olive Plantations Mohammed VI Polytechnic University, Morocco Quantifying the impact of Sri Lanka's fertilizer ban on rice yields with Sentinels 1University of Wisconsin-Madison, United States of America; 2MIT, United States of America; 3World Bank, United States of America Enhancing Wheat Water Productivity and Area Yield Index Insurance through WaPOR database for Agro-Advisory Services in Ethiopia 1IWMI East Africa; 2FAO Ethiopia Forecasting the population development of within-season insect crop pests in sub-Saharan Africa: the Pest Risk Information Service 1CABI, United Kingdom; 2Assimila Ltd, United Kingdom AI tools in Agri DSS pipeline - the case of irrigated sugarbeet HEMAV Technology, S.L., Spain AgroSuite – Innovative Earth Observation Solutions for Agricultural Insurance GAF AG, Germany Detecting Drought-induced Crop Failure in Winter Cereals using Sentinel-2 1Centre de Recerca Ecològica i Aplicacions Forestals - UAB; 2CSIC, Global Ecology Unit CREAF-CSIC-UAB; 3CIDE, CSIC-UV-GV Synergizing In-Situ Data Lifecycle through Collaborative Initiatives for Crop Mapping 1Wageningen Environmental Research (WENR), Wageningen University & Research, Wageningen, Netherlands; 2International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria; 3Vlaamse Instelling Technologisch Onderzoek (VITO), Mol, Belgium Fight Xylella Fastidiosa (Fixyll): downstream services in support of Xylella containment actions Planetek Italia s.r.l., Italy Fusing Sentinel-3 and ECOSTRESS observations for a more accurate, high-resolution crop water stress indicator 1VITO, Belgium; 2LIST, Luxemburg; 3VISTA, Germany Operational Machine Learning Models for Nation-level Yield Predictions 1Image Processing Laboratory (IPL) - Universitat de València,46980 Paterna, València, Spain; 2European Commission, Joint Research Centre, 21027 Ispra, Italy; 3Food and Agriculture Organization of the United Nations Developing an early indicator of drought from EO-derived crop Biophysical Variables: Insights from Cereal Crop Regions in Europe University of Southampton, United Kingdom Temporal characterization of crop phenology using satellite imagery and field surveys across the Bekaa Valley of Lebanon Department of Environmental Engineering, Faculty of Agricultural and Veterinary Sciences, Lebanese University, Main Road to Mkalles Roundabout, Dekwaneh, Lebanon NPK DSS - A Model for Optimizing the Timing and Spatial Distribution of Fertilization Agricolus SRL, Via Settevalli 320, 06129 Perugia, Italy NPK DSS - A Model for Optimizing the Timing and Spatial Distribution of Fertilization Agricolus SRL, Via Settevalli 320, 06129 Perugia, Italy ICAERUS: Innovations and Capacity Building in Agricultural, Environmental, and Rural UAV Services - Crop Monitoring and Drone Spraying Use Cases 1Agricultural University of Athens, 75 Iera Odos Str., 11855 Athens, Greece; 2Noumena, Gran Via de les Corts Catalanes 690, 08010, Barcelona, Spain Open data for information on water accessibility by women in Machakos County, Kenya Chemichemi Foundation, Kenya Development of high resolution irrigation estimates in the Italy under drought stress. 1Research Institute for Geo-Hydrological Protection, National Research Council, Perugia, Italy; 2Department of Civil and Environmental Engineering, University of Perugia, Perugia, Italy Harvest estimation in barley and wheat plots using Sentinel-2 Imagery Consejo Superior de Investigaciones Científicas, Spain Combining Earth Observation data and Machine Learning to estimate industrial tomato yield response to climate change in Piacenza province, Italy 1MEEO S.r.l., Italy; 2SISTEMA GmbH, Austria; 3CMCC Foundation, Italy; 4Alma Mater Studiorum - University of Bologna, Italy; 5Trust-IT Services, Italy EO Africa Water Resource Management: support to farmers and planners to improve irrigation water management 1Planetek Italia s.r.l., Italy; 2CIHEAM Bari (International Center for Advanced Mediterranean Agronomic Studies - Mediterranean Agronomic Institute of Bari, Italy; 3National Authority for Remote Sensing and Space Sciences, Cairo; 4Planetek Hellas - 44 Kifisias Avenue, 15125 Marousi, Athens, Greece; 5ESA ESRIN; 6Sixth of October for Agricultural Projects company (OSAP) Online Crop Modelling Service to Support Irrigation and Agricultural Insurance via the Danube Information Factory CropOM-Hungary Kft., Hungary Spotting the drought: A crop digital twin reveals how 2022's record summer affected cereal grain yields in Switzerland 1Terensis GmbH, Switzerland; 2Crop Science, ETH Zürich, Switzerland Improved crop monitoring and yield estimation by integrating satellite and in-situ sensor data 1VITO, Belgium; 2AVR bvba, Belgium EuroCrops 1Technical University of Munich (TUM), TUM School of Engineering and Design, Chair of Remote Sensing Technology, Arcisstr. 21, Munich, Germany; 2Munich Data Science Institute (MDSI) Waterbox model: a new approach to precise monitoring of crop water needs and excess Agricolus srl, Italy Sentinel-2 and Eco-schemes: Shaping the Future of Agriculture under CAP 2023-2027 1Department of Agricultural, Forest and Food Sciences, University of Turin, L.go Braccini 2, 10095 Grugliasco, Italy; 2Agenzia Regionale Piemontese per le Erogazioni in Agricoltura (ARPEA), Via Bogino 23, 10123 Torino, Italy High-resolution baseline of soil organic carbon stocks on a large scale: Insights from a regional living laboratory on crop rotation in Emilia-Romagna 1Departement of Sustainable Crop Production, Università Cattolica del Sacro Cuore di Piacenza, via Emilia Parmense, 84, 29122 Piacenza, PC, Italy; 2Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany |