AFRI4CAst - Supporting Food Security and Food Safety in Africa
Emmanuel Lekakis, Evangelos Oikonomopoulos
AgroApps SA, Greece
Data centric solutions to applied crop type classification at scale
Samuel Jonathan Barrett, Ana P S G D D Toro
Regrow Ag
EOCROP: Towards a digital twin of cropping systems based on ingestion of EO into process-based crop models
Jadu Dash1, Lisa Emberson2, Clive Blacker3, Roger Lawes4, Yan Zhao5, Tom Bishop6
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.
Hang zhao1,2, Bingfang Wu1,2, Miao Zhang1,2, Mingxing Wang1,3
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
Federica Chiozza1, Filippo Sarvia1, Dario Spiller1, Rutendo Mukaratirwa1, Sidra Shafiq1, Shahla Asgharinia1, Victor Munene1, Kittiphon Boonma3, Swun Wunna Htet3, Sylvia Tramberend2, Günther Fischer2, Matieu Henry1
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
Francesco Nutini, Federico Filipponi, Lorenzo Parigi, Mirco Boschetti
national research council, Italy
Machine learning-based detection of wheat lodging score using hyperspectral measurements
Mehmet Furkan Celik, Roshanak Darvishzadeh, Padmageetha Nagarajan, Andrew Nelson
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
Josef Pichler, Peter Santbergen, David Alexander Kolitzus
GEO4A, Netherlands, The
Assessment of drought impact on grasslands productivity in Wallonia using Sentinel-2 multiannual time series
Cozmin LUCAU - DANILA1, Yannick CURNEL1, Alban JAGO1, Himdi HAMZA2, Richard LAMBERT2, Viviane PLANCHON1
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
Filippo Bocchino1,3, Riccardo Contu1, Lorenza Ranaldi1, Antonio Denaro3, Laura Rosatelli3, Camillo Zaccarini3, Deodato Tapete4, Alessandro Ursi4, Maria Virelli4, Patrizia Sacco4, Valeria Belloni1, Roberta Ravanelli1, Mattia Crespi1,2
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.
Pierre Loup Houdmont1, Martin Claverie2, Pierre Defourny1
1UCLouvain, Belgium; 2JRC EU-Commission, ISPRA, Italy
Enhancing WorldCereal global wheat crop calendars: A Integration of remote sensing data with phenological modeling
Italo Giuliano Moletto-Lobos1, Belen Franch1,2, Andreu Guillem-Valls1, Inbal Becker-Reshef2, Shabarinath Nair2, Kristof Van Tricht3, Jeroen Degerickx3, Christina Butsko3
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
Giorgio Impollonia, Michele Croci, Stefano Amaducci
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
Pierre Laluet1, Wouter Dorigo1, Luis Enrique Olivera-Guerra6, Víctor Altés3,4, Giovanni Paolini3, Nadia Ouaadi2,5, Vincent Rivalland2, Lionel Jarlan2, Josep Maria Villar4, Olivier Merlin2
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
can kara1, nuhcan akcit2
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.
César José Guerrero Benavent1, Belen Franch Gras1,2, Italo Moletto Lobos1, Javier Tarín Mestre1, Kate Cyran1, Ahmed El Baroudi3
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
Gina Maskell
Potsdam Institute for Climate Impact Research, Germany
Leveraging Earth Observation for estimating the Global Burden of Crop Loss
Anna Maria Szyniszewska1, Bryony Taylor1, Molly Brown2, Nicola Pounder3, Salar Mahmood1, Dan Bebber4, Gaby Oliver1, Cambria Finegold1
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
Nicola Paciolla1, Chiara Corbari1, Davide Gabrieli2, Greta Rossi1, Pietro Teatini3, Ester Zancanaro3, Drazen Skokovic4, Josè Sobrino4, Francesco Morari2
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
Francelino Augusto Rodrigues Junior1, Mohamed Jabloun2, Ivan Ortiz-Monasterio3, Kevin Shannon4, Neil Crout5
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
Matteo G. Ziliani, Boonyarit Changaival, Kim Fischer, Rim Sleimi, Paulius Sarka, Albert Abelló, Florian Werner
HYDROSAT, Luxembourg
Innovative operational services and research activities combining earth observation data and AI in Norway
Jonathan Rizzi, Nicolai Munsterhjelm, Robert Barneveld, Arnt Kristian Gjertsen, Shivesh Karan, Thi Phuong Huyen Vu, Bjørn Tobias Borchsenius
NIBIO, Norway
Prediction of Species Richness and Diversity in Sub-alpine Grasslands Using Satellite Remote Sensing and Random Forest Machine Learning Algorithm
Katlego Mashiane, Abel Ramoelo, Samuel Adelabu
University of the Free State, South Africa
Sentinel-2 data fusion with GEOSAT 2 very high resolution data
César Fernández, Silvia Fraile, Carolina de Castro, Maria Elena Calleja, Rafael Sousa, Lucia García, Ruben Niño
GEOSAT Satellites, Spain
Assessing Water Use Efficiency in Agroecosystems Using High-Resolution Satellite Data: A Case Study of Olive Plantations
Jamal Elfarkh, Bouchra Ait Hsaine
Mohammed VI Polytechnic University, Morocco
Quantifying the impact of Sri Lanka's fertilizer ban on rice yields with Sentinels
Mutlu Ozdogan1, Sherrie Wang2, Devaki Gose3, Eduardo Fraga3, Ana Fernandes3, Gonzalo Verela3
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
Mulugeta Tadesse1, Desalegn Tegegne1, Muluken E. Adamseged1, Dagmawi Melaku1, Mussie Alemayehu2, Mohammed Abdella1
1IWMI East Africa; 2FAO Ethiopia
Forecasting the population development of within-season insect crop pests in sub-Saharan Africa: the Pest Risk Information Service
Charlotte Day1, Taylor Bryony1, Styles Jon2, Mibei Henry1, Beale Tim1, Oronje MaryLucy1, Shaw Andy2, Mahony Josie2, Lowry Alyssa1
1CABI, United Kingdom; 2Assimila Ltd, United Kingdom
AI tools in Agri DSS pipeline - the case of irrigated sugarbeet
Carlos Ferraz
HEMAV Technology, S.L., Spain
AgroSuite – Innovative Earth Observation Solutions for Agricultural Insurance
Peter Navratil
GAF AG, Germany
Detecting Drought-induced Crop Failure in Winter Cereals using Sentinel-2
KAREN TORRES1,2, ADRIA DESCALS1,2, ALEIXANDRE VERGER1,2,3, JOSEP PEÑUELAS1,2
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
Arun Kumar Pratihast1, Hendrik Boogaard1, Juan Carlos Laso Bayas2, Santosh Karanam2, Steffen Fritz2, Kristof Van Tricht3, Jeroen Degerickx3
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
Pietro Sciusco
Planetek Italia s.r.l., Italy
Fusing Sentinel-3 and ECOSTRESS observations for a more accurate, high-resolution crop water stress indicator
Louis Snyders1, Jeroen Degerickx1, Jonathan Leon Tavares1, Aolin Jia2, Tian Hu2, Kaniska Mallick2, Veronika Otto3, Joris Blommaert1
1VITO, Belgium; 2LIST, Luxemburg; 3VISTA, Germany
Operational Machine Learning Models for Nation-level Yield Predictions
Inti Luna1, Vasileios Sitokonstantinou1, Maria Piles1, Jordi Muñoz1, Gustau Camps-Valls1, Filip Sabo2, Michele Meroni2, Francesco Collivignarelli2, Petar Vojnovic2, Herve Kerdiles2, Felix Rembold2, Mario Zappacosta3, Jonathan Pound3
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
Zaib un nisa, Booker Ogutu, Jadu Dash
University of Southampton, United Kingdom
Temporal characterization of crop phenology using satellite imagery and field surveys across the Bekaa Valley of Lebanon
Fadi Sami KARAM, Nadine Nassif, Abdul Halim Mouneimne, Carole El Hachem, Ingrid Saadeh
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
Alessandro Vignati, Francesco Saverio Santaga
Agricolus SRL, Via Settevalli 320, 06129 Perugia, Italy
NPK DSS - A Model for Optimizing the Timing and Spatial Distribution of Fertilization
Alessandro Vignati, Francesco Saverio Santaga
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
AIKATERINI KASIMATI1, VASILIS PSIROUKIS1, ESTHER VERA2, ALDO SOLLAZZO2, SPYROS FOUNTAS1
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
Nancy Kananu Marangu
Chemichemi Foundation, Kenya
Development of high resolution irrigation estimates in the Italy under drought stress.
Muhammad Usman Liaqat1, Luca Brocca1, Jacopo Dari1,2, Paolo Filippucci1
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
Miguel Herrezuelo, Vicente Burchard-Levine, Benjamin Mary, Héctor Nieto
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
Sara Magazzino1, Maria Luisa Quarta1, Noemi Fazzini1, Maximilien Houël2, Monia Santini3, Sofia Pellegatta4, Rob Carrillo5
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
Anna Maria Deflorio1, Vito Depasquale1, Pietro Sciusco1, Ahmed Ali Ayoub Abdelmoneim2, Bilal Derardja2, Mohammed El-Shirbeny3, Dionisis Grigoriadis4, Maria Ieronymaki4, Emmanouela Ieronymidi4, Roula Khadra2, Theophilos Valsamidis4, Espen Volden5, Hosam Bendary6
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
Márton Tolnai
CropOM-Hungary Kft., Hungary
Spotting the drought: A crop digital twin reveals how 2022's record summer affected cereal grain yields in Switzerland
Lukas Valentin Graf1,2, Gregor Perich1,2
1Terensis GmbH, Switzerland; 2Crop Science, ETH Zürich, Switzerland
Improved crop monitoring and yield estimation by integrating satellite and in-situ sensor data
Isabelle Piccard1, Laurent Tits1, Sam Oswald1, Kristof Van Tricht1, Giorgia Milli1, Koen Uyttenhove2, Koen Van Rossum1
1VITO, Belgium; 2AVR bvba, Belgium
EuroCrops
Ayshah Chan1,2, Maja Schneider1, Marco Körner1,2
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
Mauro Roscini, Matteo Cardinali, Emanuele Ranieri
Agricolus srl, Italy
Sentinel-2 and Eco-schemes: Shaping the Future of Agriculture under CAP 2023-2027
Filippo Sarvia1, Samuele De Petris1, Alessandro Farbo1, Francesco Parizia1, Gianluca Cantamessa2, Elena Xausa2, Enrico Borgogno-Mondino1
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
Michele Croci1, Gohar Ghazaryan2, Andrea Ferrarini1, Giorgio Impollonia1, Claas Nendel2, Stefano Amaducci1
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
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