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A review on the use of Unmanned Aerial Vehicles and imaging sensors for monitoring and assessing plant stresses. Author(s): BARBEDO, J. G. A. Abstract: Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of contexts. Their use in agriculture is particularly suitable, as those areas are often vast, makin... ... Repository: BDPA Publication year: 2019
Water status evaluation of maize cultivars using aerial images. Author(s): ANDRADE JUNIOR, A. S. de; BASTOS, E. A.; SOUSA, C. A. F. de; CASARI, R. A. das C. N.; RODRIGUES, B. H. N. The objective of this study was to evaluate the water status of maize cultivars through thermal and vegetation indexes generated from multispectral aerial images obtained from an unmanned aerial vehic... ... Repository: BDPA Publication year: 2021
Assessment of maize hybrid water status using aerial images from an unmanned aerial vehicle. Author(s): LOPES, A. da S.; ANDRADE JUNIOR, A. S. de; BASTOS, E. A.; SOUSA, C. A. F. de; CASARI, R. A. das C. N.; MOURA, M. S. B. de The objective of this work was to evaluate the potential of vegetation indices (VIs), obtained using aerial images from an unmanned aerial vehicle (UAV), for assessing water status of maize hybrids su... ... Repository: BDPA Publication year: 2024
Evaluation of the nutritional status of corn by vegetation indices via aerial images. Author(s): ANDRADE JUNIOR, A. S. de; MELO, F. de B.; BASTOS, E. A.; CARDOSO, M. J. The objective of this study is to determine the vegetation indices (IV) as a means of identifying the nutritional status of corn, with respect to the soil nitrogen and potassium, using the aerial imag... ... Repository: BDPA Publication year: 2021
Models for predicting biometric variables in cowpea using multispectral aerial images. Author(s): ANDRADE JUNIOR, A. S. de; SOBRAL, A. H. S.; BASTOS, E. A.; PESSOA FILHO, F. N.; NUNES, L. P.; ROIG, H. Models based on vegetation indices (VI) from digital aerial images are promising for predicting biometric variables in agricultural crops. The objective of this study was to generate prediction models... ... Repository: BDPA Publication year: 2023
Predicting soybean grain yield using aerial drone images. Author(s): ANDRADE JUNIOR, A. S. de; SILVA, S. P. da; SETUBAL, I. S.; SOUZA, H. A. de; VIEIRA, P. F. de M. J.; CASARI, R. A. das C. N. This study aimed to evaluate the ability of vegetation indices (VIs) obtained from unmanned aerial vehicle (UAV) images to estimate soybean grain yield under soil and climate conditions in the Teresin... ... Repository: BDPA Publication year: 2022
A methodology for detection and localization of fruits in apples orchards from aerial images. Author(s): SANTOS, T. T.; GEBLER, L. Abstract. Computer vision methods based on convolutional neural networks (CNNs) have presented promising results on image-based fruit detection at ground-level for different crops. However, the integr... ... Repository: BDPA Publication year: 2021
Automatic selection of color channels for segmentation of aerial images with photometric variations. Author(s): JORGE, L. A. de C.; FERREIRA, E. J.; RUIZ, H. de S.; RODA, V. O.; GONZAGA, A Repository: BDPA Publication year: 2007
SAFER applications for water productivity assessments with aerial camera onboard a remotely piloted aircraft (RPA). A rainfed corn study in Northeast Brazil. Author(s): TEIXEIRA, A. H. de C. T.; PACHECO, E. P.; SILVA, C.; DOMPIERI, M. H. G.; LEIVAS, J. F. Aerial images taken with a camera onboard a remotely piloted aircraft (ARP) at 4-cm resolution were used for rainfed corn water productivity (WP) assessments by applying the Simple Algorithm for Evapo... ... Repository: BDPA Publication year: 2021
Perspectives on the use of unmanned aerial systems to monitor cattle. Author(s): BARBEDO, J. G. A.; KOENIGKAN, L. V. The use of unmanned aerial systems (UASs) in agriculture has been growing steadily in the last decade, but their use to monitor and count cattle has been very limited. This article analyses the reason... ... Repository: BDPA Publication year: 2018

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