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 Author(s): VERAMENDI, W. N. C.; CRUVINEL, P. E. The processing of multispectral images acquired with embedded cameras in unmanned aerial vehicles (drones) has brought new opportunities for precision agriculture. In this study a method for evaluatin... ... |
 Author(s): LIMA, G. S. A. de; FERREIRA, M. E.; SALES, J. C.; PASSOS, O. de S.; MAGGIOTTO, S. R.; MADARI, B. E.; CARVALHO, M. T. de M.; MACHADO, P. L. O. de A. In Brazil, agriculture consumes most of the available freshwater, especially in the Cerrado biome, where the rain cycle is marked by long periods of drought. This study, conducted at the Brazilian Agr... ... |
 Author(s): FONGARO, C. T.; DEMATTÊ, J. A. M.; RIZZO, R.; SAFANELLI, J. L.; MENDES, W. de S.; DOTTO, A. C.; VICENTE, L. E.; FRANCESCHINI, M. H. D.; USTIN, S. L. Abstract: Soil mapping demands large-scale surveys that are costly and time consuming. It is necessary to identify strategies with reduced costs to obtain detailed information for soil mapping. We aim... ... |
 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... ... |
 Author(s): BIANCHINI, V. de J. M.; MASCARIN, G. M.; SILVA, L. C. A. S.; ARTHUR, V.; CARSTENSEN, J. M.; BOELT, B.; SILVA, C. B. da Abstract: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualizatio... ... |
 Author(s): ALBUQUERQUE, R. W.; VIEIRA, D. L. M.; VICENTE, L. E.; ARAUJO, L. S. de; FERREIRA, M. E.; GROHMANN, C. H. Abstract: Remotely Piloted Aircrafts (RPA) coupled with Red-Green-Blue (RGB) sensors have a high potential to monitor Forest Restoration (FR), but multispectral sensors onboard RPA are more expensive... ... |
 Author(s): CEDDIA, M. B.; GOMES, A. S.; VASQUES, G. M.; PINHEIRO, E. F. M. Soils from the remote areas of the Amazon Rainforest in Brazil are poorly mapped due to the presence of dense forest and lack of access routes. The use of covariates derived from multispectral and rad... ... |
 Author(s): SANTOS, L. M. dos; FERRAZ, G. A. e S.; MARIN, D. B.; CARVALHO, M. A. de F.; DIAS, J. E. L.; ALECRIM, A. de O.; SILVA, M. de L. O. e The coffee leaf miner (Leucoptera coffeella) is a primary pest for coffee plants. The attack of this pest reduces the photosynthetic area of the leaves due to necrosis, causing premature leaf falling,... ... |
 Author(s): PARREIRAS, T. C.; BOLFE, E. L.; PEREIRA, P. R. M.; SOUZA, A. M. de; ALVES, V. F. ABSTRACT. Land use and cover changes significantly impact landscape configuration, climate change, and society. The processes of expansion, conversion, intensification, diversification, and reduction... ... |
 Author(s): VILELA, E. F.; FERREIRA, W. P. M.; CASTRO, G. D. M. de; FARIA, A. L. R. de; LEITE, D. H.; LIMA, I. A.; MATOS, C. de S. M. de; SILVA, R. A.; VENZON, M. The coffee leaf miner (Leucoptera coffeella) is a key coffee pest in Brazil that can cause severe defoliation and a negative impact on the productivity. Thus, it is essential to identify initial pest... ... |
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