Acquiring Plant Features with Optical Sensing Devices in an Organic Strip-Cropping System

Krus, Anne and Van Apeldoorn, Dirk and Valero Ubierna, Constantino and Ramirez Montoro, Juan José (2020). Acquiring Plant Features with Optical Sensing Devices in an Organic Strip-Cropping System. "Agronomy", v. 10 (n. 2); p. 197. ISSN 2073-4395. https://doi.org/10.3390/agronomy10020197.

Description

Title: Acquiring Plant Features with Optical Sensing Devices in an Organic Strip-Cropping System
Author/s:
  • Krus, Anne
  • Van Apeldoorn, Dirk
  • Valero Ubierna, Constantino
  • Ramirez Montoro, Juan José
Item Type: Article
Título de Revista/Publicación: Agronomy
Date: February 2020
ISSN: 2073-4395
Volume: 10
Subjects:
Freetext Keywords: lidar; cabbages; weighted sum; point cloud; plant extraction
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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Abstract

The SUREVEG project focuses on improvement of biodiversity and soil fertility in organic agriculture through strip-cropping systems. To counter the additional workforce a robotic tool is proposed. Within the project, a modular proof of concept (POC) version will be produced that will combine detection technologies with actuation on a single-plant level in the form of a robotic arm. This article focuses on the detection of crop characteristics through point clouds obtained with two lidars. Segregation in soil and plants was successfully achieved without the use of additional data from other sensor types, by calculating weighted sums, resulting in a dynamically obtained threshold criterion. This method was able to extract the vegetation from the point cloud in strips with varying vegetation coverage and sizes. The resulting vegetation clouds were compared to drone imagery, to prove they perfectly matched all green areas in said image. By dividing the remaining clouds of overlapping plants by means of the nominal planting distance, the number of plants, their volumes, and thereby the expected yields per row could be determined

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainC1920280080SUREVEGConstantino Valero UbiernaStrip-cropping and recycling of waste for biodiverse and resource-Efficient intensive VEGetable production

More information

Item ID: 66812
DC Identifier: https://oa.upm.es/66812/
OAI Identifier: oai:oa.upm.es:66812
DOI: 10.3390/agronomy10020197
Official URL: https://doi.org/10.3390/agronomy10020197
Deposited by: Profesor Constantino Valero Ubierna
Deposited on: 21 Apr 2021 13:07
Last Modified: 21 Apr 2021 13:35
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