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Method for maize plants counting and crop evaluation based on multispectral images analysis. 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... ... Repository: BDPA Publication year: 2024
Improvement of clay and sand quantification based on a novel approach with a focus on multispectral satellite images. 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... ... Repository: BDPA Publication year: 2018
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
Multispectral and X-ray images for characterization of Jatropha curcas L. seed quality. 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... ... Repository: BDPA Publication year: 2021
Vegetation indices applied to suborbital multispectral images of healthy coffee and coffee infested with coffee leaf miner. 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,... ... Repository: BDPA Publication year: 2022
Using multispectral images to assess bioactive compounds in sorghum. Author(s): XAVIER, N. G.; SIMEONE, M. L. F.; QUEIROZ, V. A. V.; SILVA, C. B. da; MAGALHAES, J. V. de; PASTINA, M. M. Repository: BDPA Publication year: 2021
Quantification of chlorophyll fluorescence in soybean seeds by multispectral images and their relationship with physiological potential. Author(s): FRANÇA-SILVA, F.; CICERO, S. M.; GOMES-JUNIOR, F. G.; MEDEIROS, A. D.; FRANÇA-NETO, J. B.; DIAS, D. C. F. S. Repository: BDPA Publication year: 2022
Multispectral Images for Drought Stress Evaluation of Arabica Coffee Genotypes Under Different Irrigation Regimes. Author(s): SILVA, P. C. da; RIBEIRO JUNIOR, W. Q.; RAMOS, M. L. G.; LOPES, M. F.; SANTANA, C. C.; CASARI, R. A. DAS C.; BRASILEIRO, L. DE O.; VEIGA, A. D.; ROCHA, O. C.; MALAQUIAS, J. V.; SOUZA, N. O. S.; ROIG, H. L. The advancement of digital agriculture combined with computational tools and Unmanned Aerial Vehicles (UAVs) has opened the way to large-scale data collection for the calculation of vegetation indices... ... Repository: BDPA Publication year: 2024
Comparação entre imagens orbitais Sentinel-2 e Planet para caracterização espacial e temporal de vinhedo por NDVI. Author(s): PAULETTO, H.; JUNGES, A. H.; HOFF, R.; ALBERTI, R. Este estudo monitorou um vinhedo de Cabernet Sauvignon por meio de dados orbitais a partir das imagens dos satélites Planet e Sentinel-2, avaliando a adequabilidade dos dois sensores por meio do Índic... ... Repository: BDPA Publication year: 2024
Estimativa do potássio foliar na cultura da soja por imagens aéreas multispectrais. Author(s): GONÇALVES, J. V. F.; NANNI, M. R.; CRUSIOL, L. G. T.; SIBALDELLI, R. N. R.; FURLANETTO, R. H.; OLIVEIRA JUNIOR, A. de; CASTRO, C. de; OLIVEIRA, F. A. de Repository: BDPA Publication year: 2024

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