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1. Evaluation of Coffee Plants Transplanted to an Area with Surface and Deep Liming Based on Multispectral Indices Acquired Using Unmanned Aerial Vehicles

Author

Barata, Rafael Alexandre Pena, primary, Ferraz, Gabriel Araújo e Silva, additional, Bento, Nicole Lopes, additional, Soares, Daniel Veiga, additional, Santana, Lucas Santos, additional, Marin, Diego Bedin, additional, Mattos, Drucylla Guerra, additional, Schwerz, Felipe, additional, Rossi, Giuseppe, additional, Conti, Leonardo, additional, and Bambi, Gianluca, additional

Published
2023
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2. UAV-Based Vegetation Indices to Evaluate Coffee Crop Response after Transplanting Seedlings Grown in Different Containers.

Author

Barata, Rafael Alexandre Pena, Ferraz, Gabriel Araújo e Silva, Bento, Nicole Lopes, Santana, Lucas Santos, Marin, Diego Bedin, Mattos, Drucylla Guerra, Schwerz, Felipe, Rossi, Giuseppe, Conti, Leonardo, and Bambi, Gianluca

Subjects
COFFEE plantations, COFFEE beans, LEAF area index, COFFEE growing, COFFEE, MULTISPECTRAL imaging, DRONE aircraft, SEEDLINGS
Abstract

Brazil stands out among coffee-growing countries worldwide. The use of precision agriculture to monitor coffee plants after transplantation has become an important step in the coffee production chain. The objective of this study was to assess how coffee plants respond after transplanting seedlings grown in different containers, based on multispectral images acquired by Unmanned Aerial Vehicles (UAV). The study was conducted in Santo Antônio do Amparo, Minas Gerais, Brazil. The coffee plants were imaged by UAV, and their height, crown diameter, and chlorophyll content were measured in the field. The vegetation indices were compared to the field measurements through graphical and correlation analysis. According to the results, no significant differences were found between the studied variables. However, the area transplanted with seedlings grown in perforated bags showed a lower percentage of mortality than the treatment with root trainers (6.4% vs. 11.7%). Additionally, the vegetation indices, including normalized difference red-edge, normalized difference vegetation index, and canopy planar area calculated by vectorization (cm2), were strongly correlated with biophysical parameters. Linear models were successfully developed to predict biophysical parameters, such as the leaf area index. Moreover, UAV proved to be an effective tool for monitoring coffee using this approach. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Characterization of Recently Planted Coffee Cultivars from Vegetation Indices Obtained by a Remotely Piloted Aircraft System

Author

Bento, Nicole Lopes, primary, Ferraz, Gabriel Araújo e Silva, additional, Barata, Rafael Alexandre Pena, additional, Soares, Daniel Veiga, additional, Santos, Luana Mendes dos, additional, Santana, Lucas Santos, additional, Ferraz, Patrícia Ferreira Ponciano, additional, Conti, Leonardo, additional, and Palchetti, Enrico, additional

Published
2022
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6. Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop

Author

Marin, Diego Bedin, primary, Ferraz, Gabriel Araújo e Silva, additional, Guimarães, Paulo Henrique Sales, additional, Schwerz, Felipe, additional, Santana, Lucas Santos, additional, Barbosa, Brenon Dienevam Souza, additional, Barata, Rafael Alexandre Pena, additional, Faria, Rafael de Oliveira, additional, Dias, Jessica Ellen Lima, additional, Conti, Leonardo, additional, and Rossi, Giuseppe, additional

Published
2021
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