ECPA Timetable

ECPA Timetable

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.

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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.

Jean-Baptiste Féret obtained his degree in Agronomy Engineering from the International Center for Higher Education in Agricultural Sciences (Montpellier SupAgro, France) in 2005 and specialized in information and communication technologies applied to agriculture (AgroTIC). He worked on the characterization of soils properties in Mediterranean vineyards using hyperspectral remote sensing during his Master thesis. He specialized on physical modeling of vegetation during his PhD and obtained his Ph.D. degree in Environmental Sciences from Université Pierre et Marie Curie – Paris 6, France in 2009, entitled “Contribution of physical modeling for the estimation of leaf pigment content using remote sensing”. He developed the latest versions of the PROSPECT leaf model since then: PROSPECT-5 and PROSPECT-D. He worked as post-doctoral researcher in Asner Lab (Department of Global Ecology, Carnegie Institution for Science, Stanford, CA) from 2010 to 2014 where he became project leader for biodiversity mapping for the Carnegie Airborne Observatory project. In 2014, he was funded by the French space agency (CNES) and worked at CESBIO (Toulouse, France), on the preparation of hyperspectral satellite missions. He particularly focused on applications related to the monitoring of tropical biodiversity with a combination of 3D radiative transfer models and image processing tools. He is affiliated with the National Research Institute of Science and Technology for Environment and Agriculture (Irstea) since 2014, and works at the TETIS joint research unit. His main research interests are focused on i) improving leaf scale modeling as well as the integration of multiple data sources (such as LiDAR & spectroscopy) into complex 3D canopy models (DART) in order to broaden their domain of application for heterogeneous canopies, and ii) developing methods combining physical modeling and machine learning for the monitoring of natural and monitored ecosystems based on their biophysical properties.
Mon 09:00 - 10:20
Satellite

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.

 

 

Mon 10:50 - 12:50
Model, Pasture

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.

Mon 10:50 - 12:50
Proximal Sensing

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

 

 

Mon 10:50 - 12:50
Irrigation, Satellite

14:00 - 15:40 Session 2

Nitrogen Sensing

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.

Mon 14:00 - 15:40
Nitrogen

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.

Mon 14:00 - 15:40
Weed Management

Satellite Applications - Yield

Francelino RodriguesAuditorium 206

  • Monday PM

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.

 

 

Mon 14:00 - 15:40
Satellite, Yield

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.

 

Mon 14:00 - 15:40
Yield

16:20 - 18:20 Session 3

Nitrogen Management

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.

Mon 16:20 - 18:20
Nitrogen

On-farm Experimentation

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.

 

Mon 16:20 - 18:20
On-farm

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.

 

 

Mon 16:20 - 18:20
Proximal Sensing

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.

Mon 16:20 - 18:20
Spatial Data

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.

Tue 08:20 - 10:00
Adoption

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.

Tue 08:20 - 10:00
Horticulture, UAV

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.

 

Tue 08:20 - 10:00
Model, Yield

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.

Dr Benjamin K. Addom is the Team Leader, ICTs for Agriculture at the Technical Centre for Agricultural and Rural Cooperation (CTA). He is an expert in digital solutions for agriculture (digitalisation in agriculture). He specifically focuses on the intersection of mobile applications, remote sensing technologies and innovative business partnerships for scale and sustainability. He has over 20 years of experience with smallholder farming; extension and advisory service provision; resource mobilisation and fundraising; agribusiness development; project design and implementation; business development; and grant management. He holds Doctorate in Information Science and Technology from Syracuse University School of Information Studies, USA; Masters in International Agriculture and Rural Development from Cornell University, USA; and Bachelors in General Agriculture from the University of Cape Coast, Ghana. Ben had first-hand experience of smallholder agriculture in Ghana prior to secondary and college education. He then spent over 4 years as agricultural extension officer with both the public and private sector service providers in Northern Ghana. He spent 10 years in the US researching and exploring the potentials of ICTs in supporting agribusiness, extension and advisory services. At CTA, he leads a team of 10 including Senior Programme Coordinators, Project Officers, Interns and Project Assistants. He also designs and implements ICT4Ag projects that aim at reaching the smallholder farmers on the ground. He led the technical organisation of the ICT4Ag International Conference in Kigali, 2013. He coordinated the implementation of five projects across Africa and Caribbean to understand models of ICT4Ag services provision in 2014/15. In 2015, he coordinated the implementation of two mobile platforms to overcome digital literacy and increase subscription base. He coordinated the development and deployment of the CTA’s Apps4Ag Database that has over 400 apps for agriculture. He is also currently managing a multi-million, multi-partnership, & multi-year e-extension MUIIS project in Uganda that utilizes remote sensing/satellite-based data to inform extension and advisory services to over 350,000 maize, soya bean and sesame farmers.
Tue 10:00 - 11:00
Adoption

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.

 

 

Tue 11:30 - 12:50
Adoption

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.

Tue 11:30 - 12:50
Deep Learning

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.

 

Tue 11:30 - 12:50
Proximal Sensing

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.

Sofia Cilla Sofia Cilla obtained a PhD in Physics by the University of Zaragoza, Spain. She joined GMV (aero-spatial company within the private sector) when European GNSS space programs where just starting the design phase. She worked on the development of EGNOS and GALILEO for more than eight years. On 2009 she joined ESSP, the company that has been providing EGNOS service since it became operational. She has been involved in different activities, from performance analysis to setting up a receiver lab. She is now managing the team in charge of fostering EGNOS adoption for all markets (aviation, maritime, surveying, agriculture and rail), and being directly involved in the activities to increase EGNOS awareness within European farming community.
Tue 14:00 - 15:40
GNSS

16:20 - 18:20 Session 6

Digital Agriculture

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.

Tue 16:20 - 18:20

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.

 

Tue 16:20 - 18:20
GNSS, Robotics

Variable-rate Irrigation Studies

George VellidisLamour Auditorium

Comparison of precision and conventional irrigation management of cotton
Presented by Vories, E.D.

 
Comparison of water potential and yield parameters under uniform and variable rate drip irrigation in cabernet sauvignon vineyard
Presented by Bahat, I.

 

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.

Tue 16:20 - 18:20
Irrigation

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.

Wed 15:00 - 16:40
Horticulture

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.

Wed 15:00 - 16:40
3D, Proximal Sensing

Zoning Applications

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.

 

Wed 15:00 - 16:40
Spatial Data

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.

Alexandre Escolà attended the studies of Agricultural Technical Engineering (equivalent to a degree) and Agronomy Engineering (equivalent to a Master Science) at the School of Agrifood and Forestry Science and Engineering of the University of Lleida, Catalonia. His degree and master theses were related to the use of sensors to enhance applications of pesticides in fruit orchards. This work was completed in 2010 with a Ph.D. thesis entitled “Method for real-time variable rate application of plant protection products in precision horticulture/fruticulture”. In 2001, he was employed as part-time assistant professor and since 2006 as a full-time Professor Col·laborador (equivalent to assistant professor). From 2013 he is a Professor Agregat (equivalent to associate professor) at the same center. His research is carried out in the GRAP, the Research Group on AgroICT & Precision Agriculture of the University of Lleida-Agrotecnio Center. His research lines focuses on electronic characterization of vegetation, especially in fruticulture and viticulture, soil surveying and in Precision Agriculture in general to provide advisors and farmers with useful information to help them in the decision-making process. Regarding his teaching, he is member and Academic Secretary of the Department of Agricultural and Forest Engineering. Currently, he teaches courses of Precision Agriculture, Mechatronics, Computers and Agricultural Robotics at the School of Agrifood and Forestry Science and Engineering and at the Polytechnic School of the University of Lleida.
Thu 09:00 - 10:00
3D

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.

Thu 10:40 - 13:00
Irrigation, Model

Precision Spray Applications

Auditorium 206

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.

Thu 10:40 - 13:00
Spray

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.

Thu 10:40 - 13:00
3D, UAV
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