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CROP.SENSe.net - Event registration

Event registration (v1.7.2):. Here is an overview of the future events of CROP.SENSe.net. Click on the individual event to see details and register:. Field trip to Siebeldingen. 16062015 - 17.06.2015. Http:/ www.cropsense.uni-bonn.de. Https:/ cropsense-data.uni-bonn.de.

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CROP.SENSe.net - Event registration | cropsense-data.uni-bonn.de Reviews

https://cropsense-data.uni-bonn.de

Event registration (v1.7.2):. Here is an overview of the future events of CROP.SENSe.net. Click on the individual event to see details and register:. Field trip to Siebeldingen. 16062015 - 17.06.2015. Http:/ www.cropsense.uni-bonn.de. Https:/ cropsense-data.uni-bonn.de.

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Kontakt — CROP.SENSe.net

https://www.cropsense.uni-bonn.de/kontakt

Sie benötigen weitere Informationen? Nehmen Sie mit uns Kontakt auf. Das Crop.Sense.net Koordinationsteam steht Ihnen unter folgenden Adressen zur Verfügung:. Prof Dr. Heiner Goldbach. Tel 49 (0) 228 73 2159. Tel 49 (0) 228 73 2852. Email protection active, please enable JavaScript.]. Email protection active, please enable JavaScript.]. Http:/ www.cropsense.uni-bonn.de. Institut für Nutzpflanzenwissenschaften und Ressourcenschutz (INRES). Uni Bonn Erstellt von admin.

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Upcoming CROP.SENSe.net Events — CROP.SENSe.net

https://www.cropsense.uni-bonn.de/events

Upcoming CROP.SENSe.net Events. CROPSENSe.net Seminar series. 09 - 17.06.2015. CROPSENSe.net is an innovative and interdisciplinary network, which supports and encourages the use of modern sensor technologies for plant field phenotyping. If you have further content-related questions pleas contact:. Prof Dr. Jens Léon (INRES - Pflanzenzüchtung, [Email protection active, please enable JavaScript.]. PLANT PHENOTYPING: CONCEPTS, SENSORS AND APPLICATIONS". 29092014 - 01.10.2014. Deutsche Welle, Bonn. 20082014...

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Partners — CROP.SENSe.net

https://www.cropsense.uni-bonn.de/partners/Partners

Universities, Institutions and Private Sector. Department of Plant Nutrition, INRES, University of Bonn. Prof Dr. Heiner Goldbach (Speaker). Department of Phytomedicine, INRES, University of Bonn. PD Dr Erich Oerke. Department of Soil Sciences, INRES, University of Bonn. Prof Dr. Wulf Amelung. Department of Plant Breeding, INRES, University of Bonn. Prof Dr. Jens Léon. Department of Horticultural Sciences, INRES, University of Bonn. Prof Dr. Georg Noga. ILT - Technology of Crop Farming, University of Bonn.

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Publications / Press — CROP.SENSe.net

https://www.cropsense.uni-bonn.de/publications

Uni Bonn Created by: jpost12. Jan 12, 2011.

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CROP.SENSe.net Veranstaltungen — CROP.SENSe.net

https://www.cropsense.uni-bonn.de/veranstaltungen

09 - 17.06.2015. CROPSENSe.net ist ein innovatives und interdisziplinäres Netzwerk, das die Verwendung von modernen Sensortechnologien in der Feldphänotypisierung fördert und unterstützt. Die Seminarreihe demonstriert Herausforderungen und Möglichkeiten der modernen, sensorgestützte Feldphänotypisierung. Vorträge zur Boden- und Bildanalyse, Versuchsdesigns und Datenmanagement bilden die theoretischen Grundlagen dieses komplexen Themas. Die Seminarreihe bietet praktische Übung zur Gamma-Sp...Uni Bonn Erst...

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CROP.SENSe.net

https://www.cropsense.uni-bonn.de/sitemap

GA1 Radar signal processing to determine the biomass of barley ears in the field. GA2 Non-destructive analysis of barley growth. GA3 High throughput screening in plant nurseries. GS1 Automatic and genetic analysis of quantitative inherited traits for drought tolerance in spring barley. GS2 Sensor data - Characteristics - Marker association of the genetic Co/localization of plant stress responses. GS3 Sensor Validation for biotic and abiotic stress in barley breeding. GS5 Drought stress tolerance in Barley.

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Graduate school — CROP.SENSe.net

https://www.cropsense.uni-bonn.de/Graduate%20Study

CROPSENSe.net Study Line. CROPSENSe.net Coordination is liaising with the Theodor-Brinkman-Graduate School. Agriculture Faculty, University of Bonn, to offer the CROP.SENSe.net Study Line. The Study Line includes modules on the themes covered by CROP.SENSe.net research. Further information is available from the Theodor-Brinkman-Graduate School - CROP.SENse.net Study Programme. Seminar Series, " The Root Zone - Adressing the hidden Half. Sensor technologies and their application. Feb 02, 2010.

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Vision — CROP.SENSe.net

https://www.cropsense.uni-bonn.de/About

Phenotyping science to address. Early identification of traits determining yield and yield potential, biotic and abiotic stress, crop quality. High accuracy of early trait prediction from sensor data. Ascertain phenotype from interactions between genotype and environment. Predict performance of genotypes under different environmental conditions using quantitative models. New sensor technologies and methodologies R&D. Advanced data analysis and management. Uni Bonn Created by: jpost12.

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CROP.SENSe.net

https://www.cropsense.uni-bonn.de/accessibility-info

This site uses the Open Source Content Management System Plone. And has been designed to be completely accessible and usable, working in accordance with the Web Content Accessibility Guidelines (. V10) If there is anything on this site — accessibility or validation related — that is not according to the standard, please contact the Site Administration. And not the Plone Team. Access keys are a navigation device enabling you to get around this web site using your keyboard. Mdash; Home Page. Mdash; Site Map.

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CROP.SENSe.net - Event registration

Event registration (v1.7.2):. Here is an overview of the future events of CROP.SENSe.net. Click on the individual event to see details and register:. Field trip to Siebeldingen. 16062015 - 17.06.2015. Http:/ www.cropsense.uni-bonn.de. Https:/ cropsense-data.uni-bonn.de.

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Welcome to CROP.SENSe.net. Sensortechnology for plant breeding and management. Competence network for phenotyping research. CROPSENSe.net is an innovative, interdisciplinary network, which goal is to support the use of modern sensor technology for plant phenotyping. CROPSENSe.net Seminar series. 09 - 17.06.2015. Registration open until 03.06.2015. Understanding and predicting complex traits through genome discovery. 04 - 06.03.015 - Freising Weihenstephan, Germany. FIELDDAY 2014 - Sensors in action.

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