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Krus, Anne ORCID: https://orcid.org/0000-0003-3606-4826, Apeldoorn, Dirk van, Ramirez Montoro, Juan José and Valero Ubierna, Constantino
ORCID: https://orcid.org/0000-0003-4473-3209
(2019).
Acquiring plant features with optical sensing devices in an organic strip-cropping system.
In: "ECPA2019 12th European Conference on Precision Agriculture", 8-11 julio 2019, Montpellier, France. ISBN 978-2-900792-49-0. pp. 104-105.
Title: | Acquiring plant features with optical sensing devices in an organic strip-cropping system |
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Author/s: |
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Item Type: | Presentation at Congress or Conference (Poster) |
Event Title: | ECPA2019 12th European Conference on Precision Agriculture |
Event Dates: | 8-11 julio 2019 |
Event Location: | Montpellier, France |
Title of Book: | Proceedings of the 12th European Conference on Precision Agriculture |
Date: | July 2019 |
ISBN: | 978-2-900792-49-0 |
Volume: | 1 |
Subjects: | |
Freetext Keywords: | lidar, organic farming, robotics |
Faculty: | E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM) |
Department: | Ingeniería Agroforestal |
UPM's Research Group: | Técnicas Avanzadas en Agroalimentación LPF-TAGRALIA |
Creative Commons Licenses: | None |
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There is an increasing market for organic agriculture (Golijan & Popoviš, 2016). However, the lack of attention for biodiversity and soil fertility of current practices is a pressing issue. The SUREVEG project (CORE Organic Cofund, 2018) therefore looks at strip-cropping in organic production and its implementation in intensive farming to improve soil fertility and biodiversity throughout Europe. The aim is to enhance resilience (Wojtkowski, 2008), system sustainability, local nutrient recycling, and soil carbon storage (Wang, Li & Alva, 2010) among others. To counteract the additional labour of a multi-crop system, a robotic tool is proposed, which will operate upside down suspended from a wide-span mobile carriage. Within the project framework, a modular proof-of-concept (POC) version will be produced, combining sensing technologies with actuation in the form of a robotic arm. This POC will focus on fertilization needs, which are to be identified in real-time at the single-plant scale.
Item ID: | 57168 |
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DC Identifier: | https://oa.upm.es/57168/ |
OAI Identifier: | oai:oa.upm.es:57168 |
Official URL: | https://ecpa2019.agrotic.org/proceedings-poster/ |
Deposited by: | Profesor Constantino Valero Ubierna |
Deposited on: | 04 Nov 2019 13:48 |
Last Modified: | 20 Sep 2023 11:35 |