Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Jonathan Richetti"'
Estimating Crop Sowing and Harvesting Dates Using Satellite Vegetation Index: A Comparative Analysis
Autor:
Grazieli Rodigheri, Ieda Del’Arco Sanches, Jonathan Richetti, Rodrigo Yoiti Tsukahara, Roger Lawes, Hugo do Nascimento Bendini, Marcos Adami
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5366 (2023)
In the last decades, several methodologies for estimating crop phenology based on remote sensing data have been developed and used to create different algorithms. Although many studies have been conducted to evaluate the different methodologies, a co
Externí odkaz:
https://doaj.org/article/87520a8aa8404021981c77a9c1880f80
Publikováno v:
Engenharia Agrícola, Vol 41, Iss 2, Pp 196-203 (2021)
ABSTRACT Crop growth simulation models such as WOFOST and DSSAT are useful, but require several inputs that sometimes are not available, especially in developing areas. In addition, measured data is usually time and labor-intensive. In search of fast
Externí odkaz:
https://doaj.org/article/467ee9b2926d49a0871487e07e02d42e
Autor:
Alex Paludo, Willyan Ronaldo Becker, Jonathan Richetti, Laíza Cavalcante De Albuquerque Silva, Jerry Adriani Johann
Publikováno v:
International Journal of Digital Earth, Vol 13, Iss 12, Pp 1624-1636 (2020)
Brazilian farming influences directly the worldwide economy. Thus, fast and reliable information on areas sown with the main crops is essential for planning logistics and public or private commodity market policies. Recent farming practices have embr
Externí odkaz:
https://doaj.org/article/58ff5cc56a5b428e856b7aa331b8d4bb
Autor:
Willyan Ronaldo Becker, Jonathan Richetti, Erivelto Mercante, Júlio César Dalla Mora Esquerdo, Carlos Antonio da Silva Junior, Alex Paludo, Jerry Adriani Johann
Publikováno v:
Semina: Ciências Agrárias, Vol 41, Iss 5supl1 (2020)
Knowledge of the agricultural calendar of crops is essential to better estimate and forecast the cultivation of large-scale crops. The aim of this study was to estimate sowing date (SD), date of maximum vegetative development (DMVD), and harvest date
Externí odkaz:
https://doaj.org/article/56c06b416df84c048c06e7d1bf43c23a
Autor:
Valdir Moura, Ranieli dos Anjos de Souza, Erivelto Mercante, Jonathan Richetti, Jerry Adriani Johann
Publikováno v:
Remote Sensing, Vol 13, Iss 22, p 4581 (2021)
Several colonisation projects were implemented in the Brazilian Legal Amazon in the 1970s and 1980s. Among these colonisation projects, the most prominent were those with the “fishbone” and “topographic” models. Within this scope, the settlem
Externí odkaz:
https://doaj.org/article/ba6f7abc0b2845b4b71e8461e8a24cd6
Publikováno v:
Engenharia Agrícola, Vol 37, Iss 4, Pp 750-759 (2017)
ABSTRACT: Due to the difficulty in discriminating soybean and corn in mappings obtained by the time series of satellite images, this study aimed to apply the data mining techniques to separate soybean and corn. Pure pixels selection from Landsat-8 we
Externí odkaz:
https://doaj.org/article/84fe580bc8af48af8808daa534d402d6
Publikováno v:
Engenharia Agrícola, Vol 36, Iss 1, Pp 152-165 (2016)
RESUMO Na análise de dados espaciais em agricultura, a presença de pontos influentes pode alterar consideravelmente os resultados das análises de dependência espacial e, consequentemente, a construção dos mapas. Quando se referem a atributos f
Externí odkaz:
https://doaj.org/article/4a85405078054260920e3c8492dc5567
Autor:
Lucas Eduardo de Oliveira Aparecido, Glauco de Souza Rolim, Jonathan Richetti, Paulo Sergio de Souza, Jerry Adriani Johann
Publikováno v:
Ciência e Agrotecnologia, Vol 40, Iss 4, Pp 405-417
ABSTRACT Climate is the set of average atmospheric conditions that characterizes a region. It directly influences the majority of human activities, especially agriculture. Climate classification systems (CCSs) are important tools in the study of agri
Externí odkaz:
https://doaj.org/article/9dcf99d38ab64865b8d851a204c3f16c
Publikováno v:
Agronomy for Sustainable Development. 42
Publikováno v:
Engenharia Agrícola v.41 n.2 2021
Engenharia Agrícola
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
Engenharia Agrícola, Volume: 41, Issue: 2, Pages: 196-203, Published: 23 APR 2021
Engenharia Agrícola, Vol 41, Iss 2, Pp 196-203 (2021)
Engenharia Agrícola
Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
Engenharia Agrícola, Volume: 41, Issue: 2, Pages: 196-203, Published: 23 APR 2021
Engenharia Agrícola, Vol 41, Iss 2, Pp 196-203 (2021)
Crop growth simulation models such as WOFOST and DSSAT are useful, but require several inputs that sometimes are not available, especially in developing areas. In addition, measured data is usually time and labor-intensive. In search of faster and ea