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Martínez Guanter, Jorge, Garrido Izard, Miguel ORCID: https://orcid.org/0000-0002-7880-6499, Valero Ubierna, Constantino
ORCID: https://orcid.org/0000-0003-4473-3209, Slaughter, David and Pérez Ruiz, Manuel
(2017).
Optical Sensing to Determine Tomato Plant Spacing for Precise Agrochemical Application: Two Scenarios.
"Sensors", v. 17
(n. 5);
pp. 1-19.
ISSN 1424-8220.
https://doi.org/10.3390/s17051096.
Title: | Optical Sensing to Determine Tomato Plant Spacing for Precise Agrochemical Application: Two Scenarios |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Sensors |
Date: | 2017 |
ISSN: | 1424-8220 |
Volume: | 17 |
Subjects: | |
Faculty: | E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM) |
Department: | Ingeniería Agroforestal |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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The feasibility of automated individual crop plant care in vegetable crop fields has increased, resulting in improved efficiency and economic benefits. A systems-based approach is a key feature in the engineering design of mechanization that incorporates precision sensing techniques. The objective of this study was to design new sensing capabilities to measure crop plant spacing under different test conditions (California, USA and Andalucía, Spain). For this study, three different types of optical sensors were used: an optical light-beam sensor (880 nm), a Light Detection and Ranging (LiDAR) sensor (905 nm), and an RGB camera. Field trials were conducted on newly transplanted tomato plants, using an encoder as a local reference system. Test results achieved a 98% accuracy in detection using light-beam sensors while a 96% accuracy on plant detections was achieved in the best of replications using LiDAR. These results can contribute to the decision-making regarding the use of these sensors by machinery manufacturers. This could lead to an advance in the physical or chemical weed control on row crops, allowing significant reductions or even elimination of hand-weeding tasks.
Item ID: | 45862 |
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DC Identifier: | https://oa.upm.es/45862/ |
OAI Identifier: | oai:oa.upm.es:45862 |
DOI: | 10.3390/s17051096 |
Official URL: | http://www.mdpi.com/1424-8220/17/5/1096 |
Deposited by: | Memoria Investigacion |
Deposited on: | 17 May 2017 14:25 |
Last Modified: | 13 Mar 2019 12:11 |