Skip to Content 1
Ir para o menu 2
Ir para a busca 3

Portal Embrapa

Language Language

português English
Entrar

Search Publications

Sort by: date | alphabetically


Forecasting insect abundance using time series embedding and machine learning. Author(s): PALMA, G. R.; MELLO, R. F.; GODOY, W. A.; ENGEL, E.; LAU, D.; MARKHAM, C.; MORAL, R. A. Implementing insect monitoring systems provides an excellent opportunity to create accurate interventions for insect control. However, selecting the appropriate time for an intervention is still an op... ... Repository: BDPA Publication year: 2024
Forecasting regional sugarcane yield based on time integral and spatial aggregation of MODIS NDVI. Author(s): MULIANGA, B.; BÉGUÈ, A.; MEIRELLES, M. S. P.; TODOROFF, P. This study explored the suitability of the Normalized Difference Vegetation Index (NDVI) from the Moderate Resolution Imaging Spectrometer (MODIS) obtained for six sugar management zones, over nine ye... ... Repository: BDPA Publication year: 2013
P-Values as analytical tools in probabilistic forecast assessments. Author(s): MAIA, A. de H. N.; MEINKE, H.; LENNOX, S.; STONE, R. Much has been written about ?quality? of probabilistic forecasts. Often, providers and users of such forecasts are unclear about what ?quality? entails, leading to confusion and misinformation. Here w... ... Repository: BDPA Publication year: 2005
Better statistics to assess the quality of analogue-based forecast systems. Author(s): MAIA, A. de H. N.; MEINKE, H.; BAETHGEN, W. Seasonal probabilistic forecast systems (SPFS) based on the analogue years approach (AYA) are used worldwide and provide valuable information for decision makers managing climate-sensitive systems (Si... ... Repository: BDPA Publication year: 2006
Intra-seasonal climate prediction: linking weather and climate forecasts. Author(s): DONALD, L.; MEINKE, H.; POWER, B.; WHEELER, M.; MAIA, A. de H. N.; WHITE, N.; STONE, R.; RIBBE, J. The Madden-Julian Oscillation (MJO) is a tropical atmospheric phenomenon, associated with periods of active convection in the eastern hemisphere tropics. The MJO?s temporal scale (22-90 days) coincide... ... Repository: BDPA Publication year: 2006
Agribusiness time series forecasting using perceptually important events. Author(s): RODRIGUES, L. S.; REZENDE, S. O.; MOURA, M. F.; MARCACINI, R. M. Resumo- Modern agribusiness management incorporates instruments for risk management with the objective of mitigating uncertainties to the producer. In this context, the producer (riskaverse) transfer... ... Repository: BDPA Publication year: 2018
Probabilistic methods for seasonal forecasting in a changing climate: Cox-type regression models. Author(s): MAIA, A. de H. N.; MEINKE, H. For climate risk management, cumulative distribution functions (CDFs) are an important source of information. They are ideally suited to compare probabilistic forecasts of primary (e.g. rainfall) or s... ... Repository: BDPA Publication year: 2009
An alert systemfor Seasonal Fire probability forecast for South American Protected Areas. Author(s): ANDERSON, L. O.; BURTON, C.; REIS, J. B. C. dos; PESSÔA, A. C. M.; BETT, P.; CARVALHO, N. S.; SILVA JUNIOR, C. H. L.; WILLIAMS, K.; SELAYA, G.; ARMENTERAS, D.; BILBAO, B. A.; XAUD, H. A. M.; RIVERA-LOMBARDI, R.; FERREIRA, J. N.; ARAGÃO, L. E. O. C.; JONES, C. D.; WILTSHIRE, A. J. Timely spatially explicit warning of areas with high fire occurrence probability is an important component of strategic plans to prevent andmonitor fires within South American (SA) Protected Areas (PA... ... Repository: BDPA Publication year: 2021
Assessing uncertainty of seasonal probabilistic forecasts: distribution-free confidence limits. Author(s): MAIA, A. de H. N.; MEINKE, H. Probabilistic climate information, including climate forecasts, often rely on time series data of prognostic variables (Y, eg. rainfall or yield), represented as cumulative distribution probabilities... ... Repository: BDPA Publication year: 2006
P-Values as analytical tools in probabilistic forecast assessments. Author(s): MAIA, A. de H. N.; MEINKE, H.; LENNOX, S. Repository: BDPA Publication year: 2005

Showing 1 - 10 of 91 results.

Observation

Some of Embrapa's publications are published as ePub files. To read them, use or download one of the following free software options to your computer or mobile device. Android: Google Play Books; IOS: iBooks; Windows and Linux: Calibre.

Access other publications

Access the Agricultural Research Database (BDPA) to consult Embrapa's full library collection and records.
Visit Embrapa Bookstore to purchase books and other publications sold by Embrapa.