Encontrados 8 documentos, a visualizar página 1 de 1
Soil water seasonal and spatial variability in Northeast Brazil
de Oliveira Aparecido, Lucas Eduardo; Lorençone, Pedro Antonio; Lorençone, João Antonio; de Meneses, Kamila Cunha [UNESP]Made available in DSpace on 2022-04-28T19:42:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; The Brazilian Northeast has great agricultural potential; however, the region suffers from high variability in precipitation. Water is the main element for plant development, and its entry and exit in the soil can be counted by water balance (WB). Therefore, the objective of this study was to determine ...
Climate change in Brazil: future scenarios classified by Thornthwaite (1948)
de Lima, Rafael Fausto; de Oliveira Aparecido, Lucas Eduardo; Lorençone, João Antonio; Lorençone, Pedro Antonio; de Meneses, Kamila Cunha [UNESP]Made available in DSpace on 2022-04-28T19:45:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; Climate Classification System (CCS) is an important tool for validating climate change models, subsidizing the characterization of new areas suitable or unfit for agricultural activity according to future climate change scenarios. This study aims to classify the climate of the Brazilian territory in the...
Climate classification by Thornthwaite (1948) humidity index in future scenario...
de Oliveira Aparecido, Lucas Eduardo; de Meneses, Kamila Cunha [UNESP]; Lorençone, Pedro Antonio; Lorençone, João AntonioMade available in DSpace on 2022-04-28T19:49:28Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-01; Air temperature and precipitation are the elements that most impact the development of plants and are essential for good agricultural planning. Thus, it aimed to evaluate climate change in Maranhão of Brazil using the Thornthwaite (Geographical Review 38:55–94, 1948) climate classification. It used hist...
Coffee pest severity by agrometeorological models in subtropical climate
de Oliveira Aparecido, Lucas Eduardo; Lorençone, Pedro Antonio; Lorençone, João Antonio; de Meneses, Kamila Cunha [UNESP]; de Lima, Rafael FaustoMade available in DSpace on 2022-04-29T08:39:36Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-01; 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 index to assist in controlling these main coffee pests in the state of Paraná, Brazil. The data of maximum and minimum air temperature (°C) and ...
Predicting coffee yield based on agroclimatic data and machine learning
de Oliveira Aparecido, Lucas Eduardo; Lorençone, João Antonio; Lorençone, Pedro Antonio; Torsoni, Guilherme Botega; Lima, Rafael Fausto [UNESP]Made available in DSpace on 2022-04-29T08:39:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-01; Climate directly and indirectly influences agriculture, being the main responsible for low and high yields. Prior knowledge on yield helps coffee farmers in their decision-making and planning for the future harvest, avoiding unnecessary costs and losses during the harvesting process. Thus, we sought to ...
Climate changes and their influences in water balance of Pantanal biome
de Oliveira Aparecido, Lucas Eduardo; Lorençone, Pedro Antonio; Lorençone, João Antonio; de Meneses, Kamila Cunha [UNESP]Made available in DSpace on 2021-06-25T10:14:51Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; 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 Grosso do Sul (MS), agribusiness is the main economic activity representing a large part of the state’s GDP. Therefore, the aim of this study was t...
Climate risk to peanut cultivation in Brazil across different planting seasons
de Oliveira Aparecido, Lucas Eduardo; Lorençone, João Antonio; Lorençone, Pedro Antonio; de Meneses, Kamila Cunha [UNESP]Made available in DSpace on 2021-06-25T10:24:35Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-01-01; BACKGROUND: Peanuts are widely grown in Brazil because of their great importance in the domestic vegetable oil industry and the succession of sugarcane, soybean and maize crops, contributing to soil conservation and improvement in agricultural areas. Thus, the present study aimed to determine the zoning...
Modeling the impact of agrometeorological variables on soybean yield in the Mat...
de Oliveira Aparecido, Lucas Eduardo; Torsoni, Guilherme Botega; da Silva Cabral de Moraes, José Reinaldo; de Meneses, Kamila Cunha [UNESP]Made available in DSpace on 2020-12-12T01:27:15Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-01-01; The study of the soybean yield variability influenced by the climate contributes to the planning of strategies to mitigate its negative effects. Thus, our aim was to calibrate agrometeorological models for soybean yield forecast and identify the weather variables that most influence soybean yield. This ...