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Acquiring Plant Features with Optical Sensing Devices in an Organic Strip-Cropping System
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.
- Universidad Politécnica de Madrid Spain
- Wageningen University & Research Netherlands
- UNIVERSIDAD POLITECNICA DE MADRID Spain
- Wageningen University & Research Netherlands
Microsoft Academic Graph classification: Computer science Point cloud STRIPS law.invention law Remote sensing business.industry Vegetation Strip farming Modular design Lidar Proof of concept business Robotic arm
Library of Congress Subject Headings: lcsh:Agriculture lcsh:S
Buildings and machinery, Robótica e Informática Industrial, Plant extraction, Lidar, S, Agricultura, Weighted sum, Agriculture, Farm Systems Ecology Group, PE&RC, Point cloud, Crop combinations and interactions, Cabbages, Electrónica, Agronomy and Crop Science
Buildings and machinery, Robótica e Informática Industrial, Plant extraction, Lidar, S, Agricultura, Weighted sum, Agriculture, Farm Systems Ecology Group, PE&RC, Point cloud, Crop combinations and interactions, Cabbages, Electrónica, Agronomy and Crop Science
Microsoft Academic Graph classification: Computer science Point cloud STRIPS law.invention law Remote sensing business.industry Vegetation Strip farming Modular design Lidar Proof of concept business Robotic arm
Library of Congress Subject Headings: lcsh:Agriculture lcsh:S
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).7 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% Powered byBIP!