Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Antônio Mauro Saraiva"'
Publikováno v:
Bioscience Journal, Vol 23 (2007)
Externí odkaz:
https://doaj.org/article/fdefc8d94f674043b5d27877a47058f4
Autor:
Marcos Roberto Benso, Roberto Fray Silva, Gabriela Chiquito Gesualdo, Patricia Angélica Marques, Alexandre Delbem, Antônio Mauro Saraiva, Eduardo Mario Mendiondo
Water is a critical resource for food production. Climate change has shown that shifts in precipitation regimes and increases in atmospheric temperature threaten food production worldwide. Therefore, it plays an essential role as a driver in the wate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44b90d580da3bcea46abf4a3b379e218
https://doi.org/10.5194/iahs2022-407
https://doi.org/10.5194/iahs2022-407
Autor:
Nicolay Leme da Cunha, Natacha Paola Chacoff, Agustín Sáez, Reto Schmucki, Leonardo Galetto, Mariano Devoto, Julieta Carrasco, Mariana Paola Mazzei, Silvio Eugenio Castillo, Tania Paula Palacios, José Luis Vesprini, Kayna Agostini, Antônio Mauro Saraiva, Ben Alex Woodcock, Jeff Ollerton, Marcelo Adrián Aizen
Publikováno v:
Agriculture, Ecosystems & Environment. 347:108376
Autor:
Roberto Fray da Silva, Marcos Roberto Benso, Fernando Elias Corrêa, Tamara Guindo Messias, Fernando Campos Mendonça, Patrícia Angelica Alves Marques, Sergio Nascimento Duarte, Eduardo Mario Mendiondo, Alexandre Cláudio Botazzo Delbem, Antonio Mauro Saraiva
Publikováno v:
AgriEngineering, Vol 6, Iss 2, Pp 1771-1793 (2024)
Several factors contribute to the increase in irrigation demand: population growth, demand for higher value-added products, and the impacts of climate change, among others. High-quality water is essential for irrigation, so knowledge of water quality
Externí odkaz:
https://doaj.org/article/d303dc7c24894502b0657c296899d14f
Autor:
Fernando Xavier, Gerson Laurindo Barbosa, Cristiano Corrêa de Azevedo Marques, Antonio Mauro Saraiva
Publikováno v:
Revista de Saúde Pública, Vol 58 (2024)
ABSTRACT OBJECTIVE This study aims to integrate the concepts of planetary health and big data into the Donabedian model to evaluate the Brazilian dengue control program in the state of São Paulo. METHODS Data science methods were used to integrate a
Externí odkaz:
https://doaj.org/article/e13236ea198a43e8b3eda3dd7cee356a
Autor:
SEMÍRAMIS MARTINS ÁLVARES DOMENE, KAYNA AGOSTINI, GABRIEL NATALE PINTO DE ALMEIDA, RAFAELLA GUIMARÃES MORAES CAMARGO, ALINE MARTINS DE CARVALHO, FERNANDO ELIAS CORRÊA, ALEXANDRE CLÁUDIO BOTAZZO DELBEM, SARA STEFANI DOMINGOS, DEBORA PIGNATARI DRUCKER, DIRCE MARIA LOBO MARCHIONI, ISABELA PRADO MARTINS, UIARA BANDINELI MONTEDO, EVANDRO MARCOS SAIDEL RIBEIRO, RAQUEL DE ANDRADE CARDOSO SANTIAGO, ROBERTO FRAY DA SILVA, FILIPI MIRANDA SOARES, JOSIANE STELUTI, ANTÓNIO MAURO SARAIVA
Publikováno v:
Estudos Avançados, Vol 37, Iss 109, Pp 181-206 (2023)
RESUMO O combate à má alimentação em todas as suas formas, que também se expressa na epidemia da obesidade, é uma das prioridades da Agenda 2030 e dos Objetivos de Desenvolvimento Sustentável. Este artigo traz elementos sobre insegurança alim
Externí odkaz:
https://doaj.org/article/73c79975a33c4114bad7331413d18ec8
Autor:
Filipi Miranda Soares, Luís Ferreira Pires, Maria Carolina Garcia, Lidio Coradin, Natalia Pirani Ghilardi-Lopes, Rubens Rangel Silva, Aline Martins de Carvalho, Anand Gavai, Yamine Bouzembrak, Benildes Coura Moreira dos Santos Maculan, Sheina Koffler, Uiara Bandineli Montedo, Debora Pignatari Drucker, Raquel Santiago, Maria Clara Peres de Carvalho, Ana Carolina da Silva Lima, Hillary Dandara Elias Gabriel, Stephanie Gabriele Mendonça de França, Karoline Reis de Almeida, Bárbara Junqueira dos Santos, Antonio Mauro Saraiva
Publikováno v:
GigaByte (2024)
This paper presents two key data sets derived from the Pomar Urbano project. The first data set is a comprehensive catalog of edible fruit-bearing plant species, native or introduced to Brazil. The second data set, sourced from the iNaturalist platfo
Externí odkaz:
https://doaj.org/article/8d7c6ab715ad4cf8b6f5355e9fb3ea13
Autor:
Júlia Boscariol Rasera, Roberto Fray da Silva, Sônia Piedade, Francisco de Assis Alves Mourão Filho, Alexandre Cláudio Botazzo Delbem, Antonio Mauro Saraiva, Paulo Cesar Sentelhas, Patricia Angélica Alves Marques
Publikováno v:
AgriEngineering, Vol 5, Iss 2, Pp 924-940 (2023)
Agrometeorological models are great tools for predicting yields and improving decision-making. High-quality climatic data are essential for using these models. However, most developing countries have low-quality data with low frequency and spatial co
Externí odkaz:
https://doaj.org/article/4df4227a8663465193f3de0e09c8e509