Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 561620
Title Acquiring plant features with optical sensing devices in an organic strip-cropping system
Author(s) Krus, Anne; Apeldoorn, Dirk Van; Valero, Constantino; Ramirez, Juan José
Source Agronomy 10 (2020)2. - ISSN 2073-4395
DOI https://doi.org/10.3390/agronomy10020197
Department(s) Farming Systems Ecology
PE&RC
Publication type Refereed Article in a scientific journal
Publication year 2020
Keyword(s) Cabbages - Lidar - Plant extraction - Point cloud - Weighted sum
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.

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