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Title: Aeronave remotamente pilotada aplicada no monitoramento de cafeeiros após a ocorrência de geada
Other Titles: Remotely piloted aircraft applied in the monitoring of coffee plants after frost occurrence
Authors: Ferraz, Gabriel Araújo e Silva
Fernandes, Felipe Augusto
Schwerz, Felipe
Barros, Murilo Machado de
Santos, Luana Mendes dos
Keywords: Cafeicultura de precisão
Sensoriamento remoto
Aeronave remotamente pilotada
Precision coffee
Remote sensing
Remotely piloted aircraft
Issue Date: 6-Mar-2024
Publisher: Universidade Federal de Lavras
Citation: VALENTE, G. F. Aeronave remotamente pilotada aplicada no monitoramento de cafeeiros após a ocorrência de geada. 2024. 109 p. Tese (Doutorado em Engenharia Agrícola)–Universidade Federal de Lavras, Lavras, 2023.
Abstract: The incidence of geadas in coffee plants affects the productivity of crops in Brazil due to the damage caused to the vegetable tissues. The monitoring of these plants by Remotely Piloted Aircraft (RPA) by remotely piloted aircraft is an effective and rapid form of damage detection and evaluation of coffee plants. The objective of this study is to evaluate the potential of suborbital remote sensing and vegetation indices for the identification of coffee trees damaged by geada and to evaluate the productive response and growth of these coffee trees in different climate risk areas, planting ages and northern faces. sul da linha de plantio. The study was carried out in an area with coffee plantations (Coffea arabica L.) located in the municipality of Santo Antônio do Amparo, in the Oeste region of Minas Gerais. Foram utilizados três áreas commercialis com diferentes tempos do plantio coffeeeiro (one year, two years and eight years). Each area was divided into climatic risk zones: alto risco (lower third of terrain) and low risk (upper third of terrain). As three areas were evaluated starting from three days after the incidence of geada over a year and eight months, each plant was measured for plant height, stem diameter, numbers of plagiotrópic branches, number of nodes per branch, number de folhas com danos , número de flores por ramos , número de frutos por ramos, productivity e danos por geada. Multispectral images were collected with a Remotely Piloted Aircraft (RPA). Os danos por geada were correlated with vegetation indices. Nos dados vegetativos foram applicados teste Tukey. The implementation of RPA as a tool for periodic monitoring and analysis of coffee plantations can significantly improve the management decision-making and recovery of plantations after planting. The analysis of coffee plantations by vegetation indices allowed to identify and evaluate damage by geaada and the productive response and growth of coffee culture in low and high climate risk areas.
Appears in Collections:Engenharia Agrícola - Doutorado (Teses)

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