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Author(s): EBERHARDT, I. D. R.; SCHULTZ, B.; RIZZI, R.; SANCHES, I. D.; FORMAGGIO, A. R.; ATZBERGER, C.; MELLO, M. P.; IMMITZER, M.; TRABAQUINI, K.; LUIZ, A. J. B.; FOSCHIERA, W. Abstract: The potential of optical remote sensing data to identify, map and monitor croplands is well recognized. However, clouds strongly limit the usefulness of optical imagery for these application... ... |
Author(s): JARAMILLO-GIRALDO, C.; FERREIRA, W. P. M.; FONSECA, H. P.; RIBEIRO, M. de F.; SILVA, L. M. R.; FERNANDES, R. B. A. Robust monitoring techniques for perennial crops have become increasingly possible due to technological advances in the area of Remote Sensing (RS), and the products are available through the European... ... |
Author(s): SANTOS, R. S. S. dos; KLESENER, D. F.; BIZOTTO, L. de A.; MACHIORETTO, L. de R. Spotted Wing Drosophila (SWD), Drosophila suzukii is one of the most important pests in berry crops around the world. In this study, different models of traps were evaluated for monitoring adult SWD.... ... |
Author(s): KUCHLER, P. C.; SIMÕES, M.; FERRAZ, R. P. D.; ARVOR, D.; MACHADO, P. L. O. de A.; ROSA, M.; GAETANO, R.; BÉGUÉ, A. Due to different combinations of agriculture, livestock and forestry managed by rotation, succession and intercropping practices, integrated agriculture production systems such as integrated crop-live... ... |
Author(s): EBERHARDT, I. D. R.; MELO, M. P.; RIZZI, R.; FORMAGGIO, A. R.; ATZBERGER, C.; LUIZ, A. J. B.; FOSCHIERA, W.; SCHULTZ, B.; TRABAQUINI, K.; GOLTZ, E. Abstract: Cloud cover is the main issue to consider when remote sensing images are used to identify, map and monitor croplands, especially over the summer season (October to March in Brazi). This pape... ... |
Monitoring phytopatogens in soybean and maize crops in the ilpf system of Embrapa Agrosilvopastoral. Author(s): WRUCK, D. S. M.; MAGALHÃES, C. A. de S.; VENDRUSCULO, L. G. Abstract: Since the 2011/2012 crop season, Embrapa Agrosilvopastoral in Sinop/MT has conducted na experiment of crop-livestock-forest integration, consisting of 10 treatments. The objective of this wo... ... |
Author(s): ANDRADE, C. L. T.; GOMIDE, R. L.; ALBUQUERQUE, P. E. P.; AMARAL, T. A.; SILVA, C. M. R.
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Author(s): WERNER, J. P. S.; REIS, A. A. dos; TORO, A. P. S. G. D.; BUENO, I. T.; ANTUNES, J. F. G.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; MAGALHÃES, P. S. G.; ESQUERDO, J. C. D. M.; FIGUEIREDO, G. K. D. A. The objective of this study was to assess and compare the temporal profile of the Normalised Difference Vegetation Index (NDVI) time series from different sensors for paddock monitoring in intensively... ... |
Author(s): CRUSIOL, L. G. T.; SUN, L.; CHEN, R.; SUN, Z.; ZHANG, D.; CHEN, Z.; WUYUN, D.; NANNI, M. R.; NEPOMUCENO, A. L.; FARIAS, J. R. B.
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Author(s): REIS, A. A. dos; WERNER, J. P. S.; SILVA, B. C.; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; ROCHA, J. V.; MAGALHÃES, P. S. G. Abstract: Fast and accurate quantification of the available pasture biomass is essential to support grazing management decisions in intensively managed fields. The increasing temporal and spatial reso... ... |
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