Monitoring Plant Status and Fertilization Strategy through Multispectral Images

A crop monitoring system was developed for the supervision of organic fertilization status on tomato plants at early stages. An automatic and nondestructive approach was used to analyze tomato plants with di erent levels of water-soluble organic fertilizer (3 + 5 NK) and vermicompost. The evaluation...

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Detalles Bibliográficos
Autores: Ferreira Lima, Matheus Cardim, Krus, Anne, Valero, Constantino, Barrientos, Antonio, Cerro, Jaime del, Roldán-Gómez, Juan Jesús
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/219260
Acceso en línea:http://hdl.handle.net/10261/219260
Access Level:acceso abierto
Palabra clave:Multispectral image
Computer vision
Precision agriculture
Vegetation indices
Descripción
Sumario:A crop monitoring system was developed for the supervision of organic fertilization status on tomato plants at early stages. An automatic and nondestructive approach was used to analyze tomato plants with di erent levels of water-soluble organic fertilizer (3 + 5 NK) and vermicompost. The evaluation system was composed by a multispectral camera with five lenses: green (550 nm), red (660 nm), red edge (735 nm), near infrared (790 nm), RGB, and a computational image processing system. The water-soluble fertilizer was applied weekly in four di erent treatments: (T0: 0 mL, T1: 6.25 mL, T2: 12.5 mL and T3: 25 mL) and the vermicomposting was added inWeeks 1 and 5. The trial was conducted in a greenhouse and 192 images were taken with each lens. A plant segmentation algorithm was developed and several vegetation indices were calculated. On top of calculating indices, multiple morphological features were obtained through image processing techniques. The morphological features were revealed to be more feasible to distinguish between the control and the organic fertilized plants than the vegetation indices. The system was developed in order to be assembled in a precision organic fertilization robotic platform.