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In Colombia up to 40% of yield variability is due to the effects of climate variations. Rapid phenotyping methods are needed to properly assess the crop and improve production rates. In this paper, we propose to focus on developing a noninvasive system for speeding up monitoring tasks in rice cro...
This introductory guide has been written to facilitate the use of the LIMS (Livestock Information Management System) package, details of which are given in the system documentation manual. The LIMS system was based on the experience gained from IDEAS (ILCA's Data Entry and Analysis System) a soft...
A software package to generate daily weather data for Latin America and Africa is described. The program is based on a stochastic weather generator that uses a third-order Markov process to model daily weather data. The model has been fitted to data from more than 9200 stations with long runs of ...
Provides a perspective of the data collection system used in generating livestock statistics, presents a set of information priorities required by the livestock subsector for planning purposes and describes a data processing structure that will facilitate the management of a livestock data bank.
As Sri Lankan water resources are being increasingly exploited, particularly for hydropower and irrigation, ecologists, water practitioners and policymakers alike are realizing the importance of protecting these resources and setting environmental sustainability thresholds. Environmental Flows (E...
Good estimates of ecosystem complexity are essential for a number of ecological tasks: from biodiversity estimation, to forest structure variable retrieval, to feature extraction by edge detection and generation of multifractal surface as neutral models for e.g. feature change assessment. Hence, ...
This work presents a software package for the interpolation of climatological variables, such as temperature and precipitation, using kriging techniques. The purposes of the paper are (1) to present a geostatistical software that is easy to use and easy to plug in to a hydrological model; (2) to ...
Una red neuronal artificial puede ser definida como un paradigma de aprendizajeautomático en que una tarea se descompone en tareas más simples denominadas capas o niveles de procesamiento. En las últimas décadas, las redes neuronales artificiales hanpermitido la obtención de importantes avances e...
An artificial neural network can be defined as a paradigm of automatic learning inwhich a task is decomposed into simpler tasks called layers or processing levels. Inrecent decades, artificial neural networks have allowed the achievement of importantadvances in computer vision, natural language p...
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