Search Results - "Moraes, José Reinaldo"
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Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado
Published in Journal of the science of food and agriculture (01-07-2022)“…BACKGROUND We evaluated different machine learning (ML) models for predicting soybean productivity up to 1 month in advance for the Matopiba agricultural…”
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Bioclimatic zoning for dairy cows in Brazil by statistical modeling
Published in Journal of the science of food and agriculture (01-07-2022)“…BACKGROUND Climate conditions affect animal welfare directly, influencing milk production. The Midwest region is the largest cattle‐producing region in Brazil…”
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Climate change in Brazil: future scenarios classified by Thornthwaite (1948)
Published in Theoretical and applied climatology (01-11-2021)“…Climate Classification System (CCS) is an important tool for validating climate change models, subsidizing the characterization of new areas suitable or unfit…”
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Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon
Published in Journal of the science of food and agriculture (15-03-2020)“…BACKGROUND The increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its…”
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Influence of El Niño and La Niña on coffee yield in the main coffee-producing regions of Brazil
Published in Theoretical and applied climatology (01-02-2020)“…Coffee is the most consumed beverage and one of the most valuable commodities worldwide. The crop is very sensitive to meteorological elements, mainly at the…”
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Estimation of Coffee Yield from Gridded Weather Data
Published in Agronomy journal (01-11-2018)“…Core Ideas Use of gridded weather data [European Center for Medium‐Range Weather Forecasts (ECMWF) and NASA] gave similar estimations of coffee yield to the…”
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Neural networks in climate spatialization and their application in the agricultural zoning of climate risk for sunflower in different sowing dates
Published in Archiv für Acker- und Pflanzenbau und Bodenkunde (19-09-2019)“…Sunflower is a species that is sensitive to local climate conditions. However, studies that use artificial neural networks (ANNs) to evaluate this influence…”
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Climate change and its influence on planting of cassava in the Midwest region of Brazil
Published in Environment, development and sustainability (01-02-2023)“…Climate change is the main cause of biotic and abiotic stresses on plants and has adverse effects on agriculture in a region. Cassava is fundamental for the…”
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Machine learning algorithms for forecasting the incidence of Coffea arabica pests and diseases
Published in International journal of biometeorology (01-04-2020)“…Disease and pest alert models are able to generate information for agrochemical applications only when needed, reducing costs and environmental impacts. With…”
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Köppen-Geiger and Camargo climate classifications for the Midwest of Brasil
Published in Theoretical and applied climatology (01-11-2020)“…There is a wide variety of climates on the planet’s surface, and climate classifications are tools for delimiting and describing prevailing climate types…”
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High spatial resolution solar-induced chlorophyll fluorescence and its relation to rainfall precipitation across Brazilian ecosystems
Published in Environmental research (01-02-2023)“…The detection of Solar-Induced chlorophyll Fluorescence (SIF) by remote sensing has opened new perspectives on ecosystem studies and other related aspects such…”
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Agroclimatic zoning for bananas under climate change in Brazil
Published in Journal of the science of food and agriculture (01-11-2022)“…BACKGROUND Climate change is the main cause of biotic and abiotic stresses in plants and affects yield. Therefore, we sought to carry out a study on future…”
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Agricultural zoning as tool for expansion of cassava in climate change scenarios
Published in Theoretical and applied climatology (01-11-2020)“…Improvement of planting season and crop growth time, considering climatic and soil needs of plants, is important to increase cassava ( Manihot esculenta )…”
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Coffee pest severity by agrometeorological models in subtropical climate
Published in International journal of biometeorology (01-05-2022)“…This study aimed to estimate the number of generations and cycle duration of the southern red mite, coffee berry borer, and coffee leaf miner using the thermal…”
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Climate changes and their influences in water balance of Pantanal biome
Published in Theoretical and applied climatology (2021)“…Climate change is a major problem for humanity, as it can drastically alter the current climate scenario, affecting mainly agriculture. In the state of Mato…”
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Evaluation of air temperature and rainfall from ECMWF and NASA gridded data for southeastern Brazil
Published in Theoretical and applied climatology (01-08-2019)“…The study of climatic variables in large scales with surface meteorological stations is limited due to the low density of these stations in many regions,…”
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Climatic potential for summer and winter wine production
Published in Journal of the science of food and agriculture (01-03-2018)“…BACKGROUND The geoviticultural multicriteria climatic classification (MCC) system provides an efficient guide for assessing the influence of climate on wine…”
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Soil water seasonal and spatial variability in Northeast Brazil
Published in Environment, development and sustainability (01-05-2022)“…The Brazilian Northeast has great agricultural potential; however, the region suffers from high variability in precipitation. Water is the main element for…”
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Performance of the ECMWF in air temperature and precipitation estimates in the Brazilian Amazon
Published in Theoretical and applied climatology (01-08-2020)“…We evaluated the performance of general atmosphere circulation model (GCM) from the European Center for Medium Range Weather Forecasts (ECMWF) for estimating…”
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