Andreas Heiß, M.Sc.

Andreas Heiß

Andreas Heiß, M.Sc.

Organizational Unit(s):Department of Technology Professorship for Technology

Contact:
Phone: +49 6722 502 363
eMail: Andreas.Heiss(at)hs-gm.de

Postal Address:Von-Lade-Straße 1
D-65366 Geisenheim

Address: Building 6003
Room 207
Brentanostraße 9
65366 Geisenheim

Poss B., Tsoulias N., Heiß A., Paraforos D. (2024): Vergleich zwischen luft- und bodengeführten Laser-Scannern zur Bestimmung der Laubwandhöhe im Weinbau. Bonn S. 371 - 376.
978-3-88579-738-8

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2023): Nutzerzentrierte Entscheidungstools und dynamische Steuerungsalgorithmen für eine differenzierte mehrparametrische N-Düngung. S. 339 - 344.
978-3-88579-724-1

Sharipov G.M., Heiß A., Bresilla T., Nieuwenhuizen A.T., Hemming J., van Evert F.K., Baron S., Benrais A., Avgoustakis I., Mylonas N., Fountas S., Vasilaros P., Karagiannis P., Vidal J., Paraforos D.S. (2023): Smart implements by leveraging ISOBUS: Development and evaluation of field applications. Smart Agricultural Technology 6 DOI: 10.1016/j.atech.2023.100341

Heiß A., Paraforos D.S., Sharipov, G.M., Ullrich, P., Bruns J., Abecker A., Griepentrog H.W. (2023): Versatile and user-centered concept for temporally and spatially adapted nitrogen application based on multiple parameters. European Journal of Agronomy 145 DOI: 10.1016/j.eja.2023.126792

Sharipov G.M., Heiß A., Eshkabilov S.L., Griepentrog H.W., Paraforos D.S. (2022): In-field Static Spread Pattern of a Centrifugal Spreader by Considering Field Topography. Elsevier S. 223 - 228. DOI: 10.1016/j.ifacol.2022.11.143

Paraforos D.S., Sharipov G.M., Heiß A., Griepentrog H.W. (2022): Position Accuracy Assessment of a UAV-Mounted Sequoia+ Multispectral Camera Using a Robotic Total Station. Agriculture 12 (6) DOI: 10.3390/agriculture12060885

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2022): Real-time control for multi-parametric data fusion and dynamic offset optimization in sensor-based variable rate nitrogen application. Computers and Electronics in Agriculture 196 DOI: 10.1016/j.compag.2022.106893

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2021): Modeling and simulation of a multi-parametric fuzzy expert system for variable rate nitrogen application. Computers and Electronics in Agriculture 182 DOI: 10.1016/j.compag.2021.106008

Sharipov G.M., Heiß A., Karampoiki M., Griepentrog H.W., Paraforos D.S. (2021): Modelling of in-field dynamic response of a centrifugal spreader to variable rate application. S. 95 - 102. DOI: 10.3920/978-90-8686-916-9_10
978-90-8686-363-1

Hennhöfer O., Bruns J., Ullrich P., Heiß A., Sharipov G., Paraforos D. (2021): Multidimensional Exploratory Spatial Data Analysis. ÖAW S. 136 - 151. DOI: 10.1553/giscience2021_02_s136

Karampoiki M., Heiß A., Sharipov G., Mahmood S., Todman L., Murdoch A., Griepentrog H.W., Paraforos D.S. (2021): Producing grain yield maps by merging combine harvester and remote sensing data. Wageningen Academic Publishers S. 645 - 651. DOI: 10.3920/978-90-8686-916-9_77

Heiß A., Paraforos D.S., Sharipov G.M., Karampoiki M., Griepentrog H.W. (2021): Real-time fuzzy system for variable rate nitrogen application based on multiple parameters. S. 63 - 70. DOI: 10.3920/978-90-8686-916-9_6
978-90-8686-363-1

Sharipov G.M., Heiß A., Eshkabilov S.L., Griepentrog H.W., Paraforos D.S. (2021): Variable rate application accuracy of a centrifugal disc spreader using ISO 11783 communication data and granule motion modeling. Computers and Electronics in Agriculture 182 DOI: 10.1016/j.compag.2021.106006

Sharipov G.M., Heiß A., Griepentrog H.W., Paraforos D.S. (2020): Evaluation of Centrifugal Spreader Response to Variable Rate Application by Using Task File Data. IFAC PAPERSONLINE 53 (2) S. 15804 - 15809. DOI: 10.1016/j.ifacol.2020.12.213

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2020): Fuzzy Farmer – optimierte Stickstoffdüngung durch mehrparametrische Datenfusion und präzise Applikation in Echtzeit. S. 109 - 114.
978-3-88579-693-0

Heiß A., Paraforos D.S., Sharipov G.M., Griepentrog H.W. (2020): Modelling and Simulation of a Fuzzy System for Site-Specific Nitrogen Fertilization. Elsevier S. 15790 - 15795. DOI: 10.1016/j.ifacol.2020.12.208

Heiß A., Paraforos D.S., Griepentrog H.W. (2019): Determination of a field boundary using ISO 11783 and D-GNSS data acquired during a ploughing operation. S. 775 - 782. DOI: 10.3920/978-90-8686-888-9_96
978-90-8686-337-2

Heiß A., Paraforos D.S., Griepentrog H.W. (2019): Determination of Cultivated Area, Field Boundary and Overlapping for A Plowing Operation Using ISO 11783 Communication and D-GNSS Position Data. Agriculture 9 (2) DOI: 10.3390/agriculture9020038

Smart Nitrogen Management for Diverse Cropping Systems

Project start: 01.05.2024
Project end: 30.04.2027
Sponsor: Federal Ministry of Education and Research

The diversification of cropping systems supports sustainability, climate resilience and ecosystem services, and will be considered in the context of Precision Agriculture in NSmartSystems. Various methods and open-source tools will be developed to optimally combine diversification and precision fertiliser management, enabling farmers to improve their profitability and reduce negative environmental impact. The specific objectives of the NSmartSystems project are: (1) Development of decision support systems (DSS) for the diversification of cropping systems through crop rotation and the intelligent use of catch crops. (2) Improved decision making for variable rate N fertilisation through user-centered, multi-parametric tools. (3) Optimisation of in-field variable rate N application through improved coordination of the application system and spreade. (4) Develop tools for farmers to analyse and monitor the impact of their management decisions over time.

© BMBF

From vineyard to bottle – trace sustainable practices in wine-growing under full transparency

Project start: 01.06.2023
Project end: 30.11.2026
Sponsor: European Commission, Federal Ministry of Food and Agriculture

Oenotrace will provide solutions to the ICT-AGRI-FOOD call for proposals as it includes a data-driven system enabling and promoting transparency for the end-users along the value chain from producer to consumer. Mapping of the value chain will be performed, and in the next step critical points/process steps where information flow (and transparency) can be improved will be identified. This will be examined having wine-growing in the focus and will provide the consumers with a clear and transparent tracing of how the bottle of wine has reached them. Data will be available along the entire value chain starting from machinery working in the field applying various rates of inputs (fuel, pesticides, fertilizers) and climate conditions up to winemaking, bottle filling and transportation. One main target is to trace back with full transparency sustainable cultivation practices.

© BMEL