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
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 (R...
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MDPI AG
2024-10-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/14/10/2414 |
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| author | Luana Mendes dos Santos Gabriel Araújo e Silva Ferraz Milene Alves de Figueiredo Carvalho Alisson André Vicente Campos Pedro Menicucci Neto Letícia Aparecida Gonçalves Xavier Alessio Mattia Valentina Becciolini Giuseppe Rossi |
| author_facet | Luana Mendes dos Santos Gabriel Araújo e Silva Ferraz Milene Alves de Figueiredo Carvalho Alisson André Vicente Campos Pedro Menicucci Neto Letícia Aparecida Gonçalves Xavier Alessio Mattia Valentina Becciolini Giuseppe Rossi |
| author_sort | Luana Mendes dos Santos |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-1e852550656d40bdbd4d5d2090102070 |
| institution | OA Journals |
| issn | 2073-4395 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj-art-1e852550656d40bdbd4d5d20901020702025-08-20T02:11:08ZengMDPI AGAgronomy2073-43952024-10-011410241410.3390/agronomy14102414A Spatial Analysis of Coffee Plant Temperature and Its Relationship with Water Potential and Stomatal Conductance Using a Thermal Camera Embedded in a Remotely Piloted AircraftLuana Mendes dos Santos0Gabriel Araújo e Silva Ferraz1Milene Alves de Figueiredo Carvalho2Alisson André Vicente Campos3Pedro Menicucci Neto4Letícia Aparecida Gonçalves Xavier5Alessio Mattia6Valentina Becciolini7Giuseppe Rossi8Instituto Federal de Educação, Ciência e Tecnologia Farroupilha, Jaguari 97760-000, Rio Grande do Sul, BrazilInstituto Federal de Educação, Ciência e Tecnologia Farroupilha, Jaguari 97760-000, Rio Grande do Sul, BrazilEmbrapa Café, Brasília 70770-901, Distrito Federal, BrazilDepartment of agriculture, School of Agriculture, Federal University of Lavras, Lavras P.O. Box 3037, Minas Gerais, BrazilDepartment of agriculture, School of Agriculture, Federal University of Lavras, Lavras P.O. Box 3037, Minas Gerais, BrazilAgricultural Engineering Department, School of Engineering, Federal University of Lavras, Lavras P.O. Box 3037, Minas Gerais, BrazilDepartment of Agriculture, Food, Environment and Forestry, University of Florence, 50145 Florence, ItalyDepartment of Agriculture, Food, Environment and Forestry, University of Florence, 50145 Florence, ItalyDepartment of Agriculture, Food, Environment and Forestry, University of Florence, 50145 Florence, ItalyCoffee 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.https://www.mdpi.com/2073-4395/14/10/2414unmanned aircraft systemsstomatal conductancewater potential |
| spellingShingle | Luana Mendes dos Santos Gabriel Araújo e Silva Ferraz Milene Alves de Figueiredo Carvalho Alisson André Vicente Campos Pedro Menicucci Neto Letícia Aparecida Gonçalves Xavier Alessio Mattia Valentina Becciolini Giuseppe Rossi 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 Agronomy unmanned aircraft systems stomatal conductance water potential |
| 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | unmanned aircraft systems stomatal conductance water potential |
| url | https://www.mdpi.com/2073-4395/14/10/2414 |
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