Platform for the automatic analysis of roots in plants
DOI:
https://doi.org/10.30973/progmat/2022.14.1/4Keywords:
Classification, plant root, platform, automatic processing, feature extractionAbstract
The objective of this article is to show the operation of a platform with hardware and software elements that allows the automatic analysis of the characteristics of the roots in plants. The analysis is carried out using image processing, this technique is not invasive or destructive. With the hardware system it is possible to acquire images of the plant's root, stem and leaves. The platform allows acquiring images from Webcam, Android or IOS devices and remote devices called IP cameras. Images can be of virtually any resolution since processing estimates the dimensions of known objects before rendering to infer the size of the objects. The system helps when evaluating the result of using different foods in the plants and following their growth. The acquisition is capable of processing the image automatically, which allows studying different phenotypes of the plant, this study opens the possibility of classifying different traits of a type of plant through a non-destructive, low-cost, automatic and programmable technique to analyze to the plant by day, hour, minute or multiple images; since the system is capable of obtaining up to 19 frames per second; that although it is not cataloged as real time, the acquisition speed exceeds other systems. The system determines different phenotypes of the root, among which the size of the primary root, the secondary root, the volume of the root, the area and the displacements between images stand out. The processing time depends on the resolution of the images and the number of phenotypes to be determined, so the processing is done offline, but this allows the calculations to be processing in virtual machines.
References
BLAND, William L. (1993). Cotton and Soybean root systems growth in three soil temperature regimes. Agron. J. 85: 906-911. https://doi.org/10.2134/agronj1993.00021962008500040023x
BÖHM, Wolfgang (1979). Methods of studying root systems. Ecological studies, Springerverg, Heidelberg. Vol 33: 140p.
BOOT R, G.A. (1989). The significance of size y morphology of root systems for nutrient acquisition and productivity of higher plants. Netherlands Edited By Lambert: 299-311p.
DART P.J. (1975). Legumes root nodule initiation and development. In: The development and function of roots. Ed by Torrey and Clarkson, New York. 468-499p.
HAMBLIN, Ann; TENNANT, David (1987). Root length density and water uptake in cereals and grain legumes. Aust. J. of Agricultural Research. 38 (3): 513-524. https://doi.org/10.1071/AR9870513
HAQQANI, A.; PANDEY, R. (1994). Response of mung bean to water stress and irrigation at various growth stages and plant densities: I. Plant and crop growth parameters. Trop. Agrom. Trinida. 71 (4): 281-288.
AMBLER, J. y J. YOUNG. Techniques for determining root length infected by vesiculararbuscular mycorrhizae. Soil Sci. Soc. Am. J 41:551556.1977. https://doi.org/10.2136/sssaj1977.03615995004100030026x
AVILAN, L., L. MENESES, C. ARIAS y O. PEREZ. Distribución del sistema radical de la yuca (Manihot esculenta Crantz) cultivada a diferentes distancias entre plantas. Agronomía Tropical 31(1ó):189210.1981.
AVILAN, L., L. MENESES, R. SUCRE, O. PEREZ y C. BELARDI. Efecto de algunas propiedades físicas del suelo sobre la distribución radical y la producción de las cítricas. Agronomía Tropical 29(5):413427. 1979.
CARLEY, H. y R. WATSON A new gravimetric method for estimating rootsurface areas. Soil Sci. 102:289291.
ELLIS, F. y B. BARNES. Estimation of the distribution of living roots of plants under field conditions. Plant and Soil 39:8191.1973. https://doi.org/10.1007/BF00018047
FREEMAN, B. y R. SMART. A root observation laboratory for studies with grapevines. Am. J. Enol. Vitic. 27:3639.1976.
Aboelela, A.; Liptay, A. y Barron, J. (2005), “Using optical flow in near-infrared imagery to measure plant growth”, en International Journal of Robotics and Automation (IJRA2005), Acta Press, vol. 20, núm. 1, pp. 43-49.
Barron, J. y Liptay, A. (1994), “Optic flow to measure minute increments in plant growth”, en Bioimaging, vol. 2, núm. 1, pp. 57-61. https://doi.org/10.1002/1361-6374(199403)2:1%3C57::AID-BIO5%3E3.0.CO;2-D
Barron, J. y Liptay, A. (1997), “Measurement 3D plant growth using optical flow”, en Bioimaging, vol. 5, pp. 82-86.
León, L.; Garrido-Varo, A. y Downey, G. (2005), “Near Infrared Spectroscopy (nirs) as a promising selection tool in olive breeding programs”, en FRUTIC 05, Information and technology for sustainable fruit and vegetable production, Montpellier, Francia.
Poorter, H. y Garnier, E. (1996), “Plant growth analysis: an evaluation of experimental design and computational methods”, en Journal of Experimental Botany, vol. 47, núm. 302, pp. 13431351. https://doi.org/10.1093/jxb/47.12.1969
Iyer-Pascuzzi, A. S. et al. Imaging and analysis platform for automatic phenotyping and trait ranking of plant root systems. Plant Physiol. 152, 1148–1157, https://doi.org/10.1104/pp.109.150748 http://www.plantphysiol.org/content/152/3/1148.full.pdf (2010).
Gregory, P. J. et al. Non-invasive imaging of roots with high resolution X-ray microtomography. In Roots: the dynamic interface between plants and the Earth, 351–359 (Springer, 2003). https://doi.org/10.1007/978-94-017-2923-9_34
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Salvador Antonio Arroyo Díaz, Obed Cortés Aburto, Rafael Rojas Rodríguez, Araceli Ortíz Carranco, Sara Úrsula Peláez Villareal
This work is licensed under a Creative Commons Attribution 4.0 International License.
Usted es libre de:
Compartir — compartir y redistribuir el material publicado en cualquier medio o formato. |
Adaptar — combinar, transformar y construir sobre el material para cualquier propósito, incluso comercialmente. |
Bajo las siguientes condiciones:
Atribución — Debe otorgar el crédito correspondiente, proporcionar un enlace a la licencia e indicar si se realizaron cambios. Puede hacerlo de cualquier manera razonable, pero de ninguna manera que sugiera que el licenciador lo respalda a usted o a su uso. |
Sin restricciones adicionales: no puede aplicar términos legales o medidas tecnológicas que restrinjan legalmente a otros a hacer cualquier cosa que permita la licencia. |