Banca de DEFESA: MARIA ANGÉLICA DAMASCENO ROCHA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : MARIA ANGÉLICA DAMASCENO ROCHA
DATE: 18/11/2024
TIME: 18:00
LOCAL: Plataforma Google meet (https://meet.google.com/otq-vorz-sau )
TITLE:

USE OF REMOTELY PILOTED AIRCRAFT (DRONE) TO STUDY THE BEHAVIOR OF BUFFALOES IN A PRODUCTION SYSTEM IN AMAPÁ, AMAZON, BRAZIL

KEY WORDS:

drone; animal reactivity; flight protocol; Murrah; Amapá

PAGES: 93
BIG AREA: Ciências Agrárias
AREA: Medicina Veterinária
SUMMARY:

In this study, we explored the opportunities and challenges in using drones to study animal behavior. The aim was to analyze the viability of this equipment in the behavior of Murrah buffaloes (Bubalus bubalis), applying the technology in two different treatments. The research was developed in the State of Amapá, Amazon, Brazil. The data distribution was tested for normality using the Shapiro-Wilk test from the “RVAideMemoire” package, which presented a non-normal distribution (W = 0.803; p = <0.05) and homoscedasticity using the Levene test from the “car” package, which was homogeneous (F = 0.345; p = 0.558). To evaluate animal reactivity, Spearman's Correlation was applied using the “cor.test” function, native to the R Software (R Core Team 2021). To evaluate the effect of the environment (area 1 and area 2) on the response variable, Multivariate Permutational Analysis of Variance (PERMANOVA) was applied. Principal Coordinate Analysis (PCoA) was applied to explore the spatial distribution of the data using the vegan package, with the aid of the “ggplot2” package to create the graph. With a total of 104 hours of stored images. Developed in two stages: stage 1 (Drone altitude test), applying a protocol using the DJI mini 2 fly more model, to determine at what altitude the drone should be in relation to the animals (20m, 15m, 10m, 5m, 3m and 2m). After the test, the height of 15 m was chosen to carry out the observations. Stage 2 (Ethograms and Behavior Analysis), with the construction of two Ethograms, one for each monitored area. And quantification of the frequency of behaviors. 17 different types of behaviors were identified, grouped into 6 categories of behavioral repertoires. Given the data presented, it is possible to validate the use of drones in studying behavior in buffaloes. It has proven to be efficient in carrying out minimally invasive aerial monitoring, covering as much detail as possible about the behavioral repertoires expressed by this animal, which reflects the behaviors they perform throughout their lives.

COMMITTEE MEMBERS:
Presidente - 1305300 - FREDERICO OZANAN BARROS MONTEIRO
Interno - ***.432.296-** - ANDRE GUIMARAES MACIEL E SILVA - UFPA
Interno - 1487106 - CRISTIAN FATURI
Externa à Instituição - ANGÉLICA LUCIA FIGUEIREDO RODRIGUES - CEFET/PA
Externo à Instituição - DANILO LEAL ARCOVERDE
Externo à Instituição - GABRIEL MELO ALVES DOS SANTOS - UERJ