You can find here the temporary program of ECPA2019. This program is not in its final form.
There will also be workshops to be added to this program.
A more detailed program will be available soon.
Monday 8 Jul 2019
09:00 - 10:20 Opening Session
Linking Remote Sensing with physical modelling of vegetation to characterize vegetation status and development: methods, challenges and perspectives
Jean-Baptiste FéretLamour Auditorium
Physical modeling plays an important role in precision agriculture and vegetation monitoring based on remote sensing. The increasing capacity to account for both structural and biochemical properties into improved modeling tools now broadens the potential of operational applications beyond homogeneous crop surfaces, and brings new perspectives for fine scale monitoring, such as close range remote sensing for disease detection, and explicit 3D representation of heterogeneous vegetation covers. This presentation will introduce recent advances in physical modeling of vegetation, its integration into current remote sensing data sources (such as Sentinel-2 data and UAVs), and the combination with field information collected with complementary sensor systems.
10:50 - 12:50
Crop Model Applications and Precision Pasture
Roger Sylvester-BradleyAuditorium 206
Extending the use of CERES-Beet model to simulate leaf disease in sugar beet
Presented by Memic, E.
Integrating geospatial tools to understand spatial and temporal variability of cereals in scotland
Presented by Cammarano, D.
Long-term evaluaion of the grassmaster II probe to estimate productivity of pastures
Presented by Serrano, J.
Proximal versus remote sensing to monitoring pasture quality in mediterranean montado ecosystem
Presented by Serrano, J.O.A.O.
Using a crop growth model to asses within-feild variability
Presented by Mimic, G.
Delineation of management zones in a agrosylvopastoral ecosystem based on the Rasch model
Presented by Moral, F.J.
Proximal Sensing - Image Analysis
Victor AlchanatiAuditorium 208
Accurate segmentation of grass-sward structures in RGB images using machine learning alogrithms
Presented by Rueda-Ayala, V.P
Correlation of the fusarium spp. infestation in winter wheat based on RGB imaginary
Presented by Peteinatos, G.G.
Deep learningfor in-feild image-based grapevine downy mildew identification
Presented by Boulent, J.
On-board colour imaging for the detection downy mildew : parametric modelling and deep learning
Presented by Abdelghafour, F.
Recommender system for targeted fertilization of grass-clover using mixed crop mapping from images
Presented by Skovsen, S.
Satellite Applications - Irrigation
Gonzaga SantestebanLamour Auditorium
Assessing spatial and temporal variability in evapotranspiration for olive orchards in tunisia using
Presented by Mulla, D.J.
Can time series multispectral satellite images monitor stem water potential in commercial vineyards ?
Presented by Cohen, Y.
Cost effectiveness and performance of satellites constellation for Precision Agriculture
Presented by Sartori, L.
Does imagery and meteorology suceed detecting daily changes in cotton leaf water potential ?
Presented by Beeri, Shilo, May-Tal, Raz, O.T.S
Estimating cotton water requirement using sentinel-2: Model development and validation
Presented by Rozenstein, O.
Evaluation of different methods to estimate crop coefficient from sattelite imagery
Presented by Beeri, Shilo, Pelta, O.B.T.S.R.F
14:00 - 15:40 Session 2
Raj KhoslaLamour Auditorium
Field scale variability of plant-available nitrogen and its detectability by different soil sensing
Presented by Gebbers, R.
Interaction between soil variability and maize nitrogen status assessment from Sentinel-2
Presented by Crema, A.
Near-real time winter wheat N uptake from a combination of proximal and remote optical measurements
Presented by Wolters, S.
Optimizing durum wheat cultivation: assessing proximal and remote sensing of Nitrogen content
Presented by Moretto, J.
Vegetation indices as proxies for N and water crop stress
Presented by Quemada, M.
Precision Weed Management
Manuel Perez-RuizAuditorium 208
Annotator supportive training of Convolutional Neural Network for Efficient Weed Mapping
Presented by Dyrmann, M.
Implications of herbicide dose-response relationships for robotic weed control of field vegetables
Presented by Koukiasas, N.
Preliminary study for weed biomass prediction combining visible images to a plant-growth model
Presented by Gée, C.
The potential herbicide savings from using weed maps, when the sprayers have limited refinements
Presented by Somerville, G.J.
Use of simulations to study herbicide site specific spraying
Presetend by Villette, S.
Satellite Applications - Yield
Francelino RodriguesAuditorium 206
A cotton Yield Estimation Model based on Agrometorological and High Resolution Remote Sensing data
Presented by Karantzalos, K.
Adopting precision agriculture to improve the cultivation of old wheat varieties in Tuscany (Italy)
Presented by Fabbric, C.
Satellite based modelling of protein content in winter wheat and malting barley
Presented by Borjesson, T.
Satellite-based detection of sowing at the field scale
Presented by Sadeh, Y.S.
Sentinel-2 vegetation indices and apparent electrical conductivity to predict barley
Presented by Martinez-Casasnovs, J.A.
Yield variation and gaps
Davide CammaranoRoom 104
Identifying yield gaps and causes in cotton using multi-layered, whole-farm datasets
Presented by Filippi, P.
Production gap analysis – an operational approach to yield gap analysis using historical yield data
Presented by Leroux, C.L.
The spatial variability of winter wheat yield in large-scale paddy fields of Japan
Presented by Tanaka, T.S.T.
Yield variation across scales indicates that best progress should come from farmer-centric research
Presented by Sylvester-Bradley, R.
16:20 - 18:20 Session 3
Yuxin MiaoLamour Auditorium
An Integrated Approach to Soil and Sensor Nitrogen Management
Presented by Franzen, D.W.
Effect of variable rate phosphorus and nitrogen fertilizing on winter wheat in Mezőföld, Hungary
Presented by Milics, G.
Imaging and soil adjusted variable rate nitrogen application in winter wheat
Presented by Argento, F.
Potential of optical sensors for nitrogen management in spring barley.
Presented by Hackett, R.
Precision Nitrogen and Water Management for Maize Production in the Western Great Plains of the US
Presented by Khosla, R.
Statistical model to overcome rice variety effect in precision fertilisation
Presented by Sacco, D.
Louis LongchampsAuditorium 206
Characterization site specific treatment responses in on-farm field trials
Presented by Martin, N.
Determining the value of variable nitrogen applications to Oilseed Rape
Presented by Storer, K.
Improving yield mapping accuracy using remote sensing
Presented by Goncalves Trevisan, R.
Operating Farmer Idea Groups (FIGs) for testing yield enhancing ideas using on-farm experimentation
Presened by Clarke, C.
The Economic Value of On-farm Precision Experimentation
Presented by Bullock, D.S.
Proximal Sensing - Disease/Thermal Applications
Javier TardaguilaAuditorium 208
Characterization of fungal diseases on winter wheat crop by means of two-scale multispectral imaging
Presented by Bebronne, R.
Design of a portable sensor suite for real-time monitoring of crop water stress index
Presented by Apolo-Apolo, O.E.
The use of 3D-surface models from UAV for a precise plant protection in fruit growing
Presented by Hobart, M.
Using Computation optics for Agriculture monitoring, with Emphasize to Irrigation Management Zones
Presented by Klapp, I.
Spatial Data Analysis
Gabriele ButtafocoRoom 104
Harmonization of highly noisy heterogeneous datasets hand-collected over the same study domain
Presented by Pichon, L.
Spatial Analysis of Mycotoxin Development in Stored Grain for more Precise Management Strategies
Presented by Kerry, R.
Using anthocyanin data from multiple vineyards for the estimation of a common variogram
Presented by Sams, B.S.
Using yield monitor data to guide precision nitrogen application
Presented by Brorsen, B.W.
Tuesday 9 Jul 2019
08:20 - 10:00 Session 4
Adoption - Part 1
James TaylorAuditorium 206
A framework to assess the adoption of precision agriculture in France: description and first results
Presented by Lachia, N.
Collection of agricultural data and evaluation of their usefulness for farm management in Australian
Presented by Zhang, A.
How does European adoption of precision agriculture compare to worldwide trends?
Presented by Lowerenberg-Deboer, J.M.
How quickly do farmers adopt precision technology? A Duration Analysis
Presented by Grffin,T.W.
UAV applications - Horticulture
Francesco MarinelloAuditorium 208
A multispectral processing chain for chlorophyll content assessment in banana plots by UAV imagery
Presented by Rabatel, G.
Disentangling the sources of chlorophyll-content variability in banana fields
Presented by Lamour, J.
Estimating Melon Yield for Breeding Process by machine vision processing of UAV images
Presented by Klatner, A.
Using Remote Sensing to Map In-Field Variability of Peanut Maturity
Presented by Vellidis, G.
Yield Prediction Approaches
Ruth KerryLamour Auditorium
Evaluation of a new approach to infer crop knowledge from time series data.
Presented by Laurent, C.
Precision maize yield prediction using XGBoost deep learning algorithms
Presented by Nyéki, A.
Yield forecast using contextual spatial and temporal information
Presented by Fajardo, M.
10:00 - 11:00 Plenary 2
Making Precision Agriculture work for Smallholder Farmers
Benjamin Kwasi AddomLamour Auditorium
The Technical Centre for Agricultural and Rural Cooperation (CTA) based in the Netherlands has been at the forefront of promoting the development and deployment of information and communication technologies (ICTs) into the agricultural sector. This consists of facilitating the development of new applications; testing and piloting promising solutions; and supporting viable systems for scale and sustainability.
With its refreshed strategy for 2017-2020, CTA identifies digitalisation as one its three intervention areas. Within this, precision agriculture is core with the goal of assisting smallholder farmers increase productivity and profitability. This is done through a number of projects that take advantage of remote-sensing tools (satellite data, drones, sensors, mobile applications, and IoT devices) to provide customised information and messages for farmers on what to do, how to do it and when to do it. Providing farmers with timely information that is precise and locally relevant by deploying location-based solutions that enable producers to find relevant markets for their goods, and consumers to trace the sources of their items.
Using some of our on-going projects across Africa, Caribbean and Pacifica countries, the presentation will highlight the huge potential of these remote-sensing technologies to transform smallholder agriculture as well as challenges associated with the deployment and use of the tools.
11:30 - 12:50 Session 5
Adoption - Part 2
Jesse Lowenberg-DeboerLamour Auditorium
Evaluating the Potential Benefits of Field-Specific Nitrogen Management in Northeast China
Presented by Miao, Y.
Financial and environmental performance of integrated precision farming systems
Presentend by Pedersen, S.M.
User needs for decision support functionalities in future crop protection software
Presented by Nikander, J.
Dividing the risk – Theoretical exploration of increasing N management temporal granularity
Presented by Hunt, A.G.
Deep Learning Applications
Thomas BishopAuditorium 206
A multi-disciplinary approach for the precision management of lodging risk -
Presented by Hatley, D.
Deep learning based image segmentation for grape bunch detection
Presented by Milella, A.
Estimation of the leaf area index in maize based on UAV imagery using deep learning techniques
Presented by Jorge Martínez-Guanter, J.M.G.
Proximal Sensing - Hyperspec
Jose MolinAuditorium 208
Early detection of Fusarium infection in corn using spectral and hyper spectral sensing
Presented by Sandovsky, T.
Hyperspectral imaging application under field conditions: Assessment the spatio-temporal variability
Presented by Tardaguila, J.
Hyperspectral sensing of wheat diseases in the field
Presented by Behmann, J.
UAV-based hyperspectral imaging for weed discrimination in maize
Prsented by Casa, R.
14:00 - 15:40 Plenary 3 and Platinum sponsors presentation
GNSS and EGNOS (SBAS) for farming: all you need to know from this European free service
Sophia CillaLamour Auditorium
Nowadays, tractor guidance is a key technology for farmers: it lowers crop cost thanks to savings in chemicals as it reduce skips and overlaps, especially when relying on visual estimation of swath distance and/or counting rows. Global Navigation Satellite System are the core technology on which tractor guidance relies. In this presentation European GNSS will be introduced. The focus will be placed in EGNOS, which will be described in detail providing all the practical aspects that the practitioners (advisors, manufacturers, farmers, etc. need to know: equipment configuration guides available (and where to find them), how to contact for receiving free support and many other tools (cost assessments, performance maps, success stories etc). The presentation will also focus on the current services associated with EGNOS and their evolution in the future. the latter will allow the ECPA scientific community to assess the potential of future projects in precision agriculture on the basis of the free correction services offered by EGNOS.
16:20 - 18:20 Session 6
Mats SoderstromAuditorium 208
Agriculture and digital Sustainability: A digitization footprint
Presented by Marinello, F.
Creating soil texture maps for precision liming with electrical resistivity and gamma-ray mapping
Presented by Ruehlmann, J.
Empowering Farmers by resolving the trust and legal issues emerging from smart farming
Presented by Wiseman, L.G.
Mixed-scale data fusion for mapping of within-field variation in a decision support system
Presented by Piikki, K.
The Emerging Structure of the Precision Agriculture Industry
Presented by Mcfadden, J.
GNSS and Robotics
Sophie CillaAuditorium 206
Analysis of historical position data for optimising headland turning time
Presented by Paraforos, D.S.
Determination of field boundary using ISO 11783 and D-GNSS data acquired during ploughing operation
Presented by Heiß, A.
Hybrid topological localization and mapping for autonomous agricultural robots
Presented by Emmi, L.
Model validation of the dynamics of a no-till seeding assembly with a magnetorheological damper
Presented by Sharipov, G.M.
Proof-of-concept Modular Robot Platform for Cauliflower Harvesting
Presented by Klein, F.B.
Soft Robot Manipulator for Selective Tomato Harvesting
Presented by Mohamed, A.
Variable-rate Irrigation Studies
George VellidisLamour Auditorium
Comparison of precision and conventional irrigation management of cotton
Presented by Vories, E.D.
Evaluating soil sensor-based variable irrigation scheduling on Alabama farmers’ field
Presented by Bondesan, L.
RGB and thermal imaging of field crops for precision irrigation management and yield forecast
Presented by Chen, A.
Use of Soil Electric Conductivity Mapping in Variable Rate Irrigation
Presented by Sui, R.
A Model for Precision Irrigation Scheduling in Soybeans
Presented by Liakos, V.
Wednesday 10 Jul 2019
15:00 - 16:40 Session 7
Precision Viticulture/ Horticulture
Christelle GeeAuditorium 206
An automated UAV based approach for early yield assessment in vineyard
Presented by Di Gennaro, S.F.
Assessment of grapevine yield quality using proximal spectral sensor
Presented by Sozzi, M.
Combining target sampling with route-optimization to optimise yield estimation in viticulture
Presented by Oger, B.
The development of yield sensing technologies for horticultural crops: a short review
Presented by Longchamps, L.
Proximal Sensing - LiDAR and 3D
Alessandro MateseLamour Auditorium
Characterization of wheat and barley through proximal stereovision under contrasted nitrogen inputs
Presented by Dandrifosse, S.
Investigation on LiDAR based indicators for predicting agrochemical deposition within a vine field
Presented by Cheraiet, Naud, Delpuech, A.O.X.
Obtaining the LAR from LiDAR and calculating the water deficit spatially in an apple orchard
Presented by Tsoulias, N.
Using terrestrial photogrammetry for LAI estimation in maize under different plant growth stages
Presented by Reiser, D.
Assessment of vineyard trimming using UAV photogrammetry
Presented by Torres-Sánchez, J.
Brett WhelanAuditorium 208
A spectrometric and geophysical sensor data fusion for homogeneous within-field zones delineation
Presented by Buttafuoco, G.
An iterative region growing algorithm to generate fuzzy management zones within fields
Presented by Leroux, C.L.
Can satellite-derived vigour maps be used to delineate management zones in hedgerow olive orchards?
Presented by Campillo, C.
Management zone delineation for small scale farming at the village level in the North China Plain
Presented by Cammarano, D.
Thursday 11 Jul 2019
09:00 - 10:00 Plenary 4
Challenges and opportunities of 3D data in Agriculture
Alexandre EscolàLamour Auditorium
3D information on crops and even on animals is an important issue in agriculture. Basic geometric measurements (i.e. height, width and volume) as well as structural measurements (tree training, woody structure and canopy porosity) have always been taken in the fields, orchards and in animal farms since they are considered of importance in the decision making process for several purposes. The recent explosive technological development of sensors, robotics, computers and processing techniques have turned 3D electronic characterization of farms into a quite affordable means to obtain detailed information of the whole farm in an easy, objective and repeatable way. The keynote will discuss the current and possible future solutions to obtain 3D data in agriculture, their processing requirements and their current and potential use in the decision making stage of the Precision Agriculture cycle.
10:40 - 13:00 Session 8
Precision Irrigation - Modelling and DSS
David MullaAuditorium 208
Modeling spatiotemporal variations in crop water stress to inform variable rate irrigation
Presented by Hansen, N.C.
Artificial Neural Networks for Irrigation Management: A Case Study data from Southern Alabama, USA
Presented by Jimenez, A.F.
Easy water stress detection system for vineyard irrigation management
Presented by Brunel, G.
Intelligent irrigation scheduling for drip-irrigated plum trees
Presented by Sandra Millán, S.M.A.
Variable Rate Irrigation Decision Support System for Corn in the US Eastern Coastal Plain
Presented by Stone, K.
Water consumption model as a decision support system for scheduling irrigation in vineyards
Presented by Bellvert, J.
Precision Spray Applications
Early detection of maize and wheat stress induced by chemicals' spraying
Presented by Gad, S.
Exploring the factors affecting spatio-temporal variation in grapevine powdery mildew
Presented by Caffarra, A.
Get the full benefit of VRA spraying by combining VRA map with an on/off map for boom control
Presented by Hoerfarter, R.I.T.A.
Investigation of spraying efficiency of an aerial system in a super-high density olive grove.
Presented by Aru, F.
Monitoring site-specific spraying from a prescription map obtained with a UAV
Presented by Campos, J.
UAV Applications - SfM and 3D
Alex EscolaLamour Auditorium
Accessing the plant architecture in 3D for plant phenotyping – recent approaches and demands
Presented by Paulus, S.
An UAV-based system for phenotyping crop growth in wheat, barley and triticale field trials
Presented by Peña, J.M.
Developing crop canopy model for irrigation of high density olive groves by using UAV imagery
Presented by Zancanaro, E.
Drone dataflow - A MATLAB toolbox for processing images captured by a UAV
Presented by Mortensen, A.K.
Missing plants detection and biomass estimation from 3D models generated from UAV in vineyard
Presented by Matese, A.
The Application of Structure from Motion Techniques in Late-Season Corn Damage
Presented by Czarnecki, J.M.P.