Aerial Monitoring of Rice Crop Variables using an UAV Robotic System

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dc.creatorDevia, Carlos Andres
dc.creatorRojas Bustos, Juan Pablo
dc.creatorPetro, Eliel E.
dc.creatorMondragon, Iván Fernando
dc.creatorPatino, D.
dc.creatorRebolledo, C.
dc.creatorColorado, Julian D.
dc.date2019
dc.date2019-10-29T20:43:15Z
dc.date2019-10-29T20:43:15Z
dc.date.accessioned2026-06-27T14:45:28Z
dc.descriptionThis paper presents the integration of an UAV for the autonomous monitoring of rice crops. The system integrates image processing and machine learning algorithms to analyze multispectral aerial imagery. Our approach calculates 8 vegetation indices from the images at each stage of rice growth: vegetative, reproductive and ripening. Multivariable regressions and artificial neural networks have been implemented to model the relationship of these vegetation indices against two crop variables: biomass accumulation and leaf nitrogen concentration. Comprehensive experimental tests have been conducted to validate the setup. The results indicate that our system is capable of estimating biomass and nitrogen with an average correlation of 80% and 78% respectively.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/105568
dc.identifier.urihttp://hdl.handle.net/123456789/87576
dc.languageen
dc.publisherINSTICC
dc.rightsOpen Access
dc.sourceDevia, Carlos Andres; Rojas Bustos, Juan P.; Petro, Eliel E.; Mondragon, Iván F.; Patino, D.; Rebolledo, C. & Colorado, Julian (2019). Aerial Monitoring of Rice Crop Variables using an UAV Robotic System. In: ICINCO 2019 - International Conference on Informatics in Control, Automation and Robotics. 29-31 Jul. Prague, Czech Republic, p. 97-103.
dc.subjectrice
dc.subjectmachine learning
dc.subjectaprendizaje electrónico
dc.subjectprecision agriculture
dc.subjectagricultura de precisión
dc.subjectimage processing
dc.subjecttratamiento de imágenes
dc.subjectmultispectral imagery
dc.subjectimágenes multiespectrales
dc.titleAerial Monitoring of Rice Crop Variables using an UAV Robotic System
dc.typeJournal Article

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Centro Internacional de Agricultura Tropical (CIAT)