Title:	A spatial analysis of coffee plant temperature and its relationship with water potential and stomatal conductance using a thermal camera embedded in a remotely piloted aircraft.
Authors:	SANTOS, L. M. FERRAZ, G. A. e S. CARVALHO, M. A. de F. CAMPOS, A. A. V. MENICUCCI NETO, P. XAVIER, L. A. G. MATTIA, A. BECCIOLINI, V. ROSSI, G.
Affiliation:	LUANA MENDES DOS SANTOS, INSTITUTO FEDERAL DE EDUCAÇÃO, CIÊNCIA E TECNOLOGIA FARROUPILHA; GABRIEL ARAÚJO E SILVA FERRAZ, INSTITUTO FEDERAL DE EDUCAÇÃO, CIÊNCIA E TECNOLOGIA FARROUPILHA; MILENE ALVES DE FIGUEIREDO CARVALHO, CNPCA; ALISSON ANDRÉ VICENTE CAMPOS, UNIVERSIDADE FEDERAL DE LAVRAS; PEDRO MENICUCCI NETO, UNIVERSIDADE FEDERAL DE LAVRAS; LETÍCIA APARECIDA GONÇALVES XAVIER, UNIVERSIDADE FEDERAL DE LAVRAS; ALESSIO MATTIA, UNIVERSITY OF FLORENCE; VALENTINA BECCIOLINI, UNIVERSITY OF FLORENCE; GIUSEPPE ROSSI, UNIVERSITY OF FLORENCE.
Date Issued:	2024
Citation:	Agronomy, v. 14, n. 10, 2024.
Description:	Coffee is a key agricultural product in national and international markets. Physiological parameters, such as plant growth indicators, can signal interruptions in these processes. This study aimed to characterize the temperature obtained by a thermal camera embedded in a remotely piloted aircraft (RPA) and evaluate its relationship with the water potential (WP) and stomatal conductance (gs) of an experimental coffee plantation using geostatistical techniques. The experiment was conducted at the Federal University of Lavras, Minas Gerais, Brazil. A rotary-wing RPA with an embedded thermal camera flew autonomously at a height of 10 m and speed of 10 m/s. Images were collected on 26 November 2019 (rainy season), and 11 August 2020 (dry season), between 9:30 am and 11:30 am. Data on gs and WP were collected in the field. The thermal images were processed using FLIR Tools 5.13, and temperature analysis and spatialization were undertaken using geostatistical tools and isocolor maps by Kriging interpolation in R 4.3.2 software. Field data were superimposed on final crop temperature maps using QuantumGIS version 3.10 software. The study found that with decreasing WP, stomatal closure and reduction in gs occurred, increasing the temperature due to water deficit. The temperature distribution maps identified areas of climatic variations indicating water deficit.
NAL Thesaurus:	Plant growth Agricultural products Aircraft Stomatal conductance Water potential
DOI:	https://doi.org/10.3390/agronomy14102414
Type of Material:	Artigo de periódico
Access:	openAccess
Appears in Collections:	Artigo em periódico indexado (SAPC)