Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Felipe Ferreira Bocca"'
Autor:
Raquel Stucchi Boschi, Felipe Ferreira Bocca, Maria Leonor Ribeiro Casimiro Lopes-Assad, Eduardo Delgado Assad
Publikováno v:
Scientia Agricola, Vol 75, Iss 1, Pp 70-78
ABSTRACT: The aim of this study was to evaluate the performance of pedotransfer functions (PTFs) available in the literature to estimate soil bulk density (ρb) in different regions of Brazil, using different metrics. The predictive capacity of 25 PT
Externí odkaz:
https://doaj.org/article/1bef6587eb244faabd4aad24e18fee12
Publikováno v:
Scientia Agricola, Vol 76, Iss 4, Pp 281-289
ABSTRACT: Sugarcane mills in Brazil collect a vast amount of data relating to production on an annual basis. The analysis of this type of database is complex, especially when factors relating to varieties, climate, detailed management techniques, and
Externí odkaz:
https://doaj.org/article/3f1fd0ffafeb45b29c92436c468aa053
Autor:
Maria Leonor Ribeiro Casimiro Lopes-Assad, Eduardo Delgado Assad, Felipe Ferreira Bocca, Raquel Stucchi Boschi
Publikováno v:
Scientia Agricola, Volume: 75, Issue: 1, Pages: 70-78, Published: JAN 2018
Scientia Agricola, Vol 75, Iss 1, Pp 70-78
Scientia Agricola v.75 n.1 2018
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Scientia Agricola, Vol 75, Iss 1, Pp 70-78
Scientia Agricola v.75 n.1 2018
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
The aim of this study was to evaluate the performance of pedotransfer functions (PTFs) available in the literature to estimate soil bulk density (ρb) in different regions of Brazil, using different metrics. The predictive capacity of 25 PTFs was eva
Publikováno v:
Computers and Electronics in Agriculture. 161:233-240
With the increased application of information technology in agriculture, data is being produced and used in an unprecedented scale. While these advances, combined with machine learning techniques, benefited yield modeling, most of the current literat
Publikováno v:
Scientia Agricola v.76 n.4 2019
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Volume: 76, Issue: 4, Pages: 281-289, Published: JUL 2019
Scientia Agricola, Vol 76, Iss 4, Pp 281-289
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Volume: 76, Issue: 4, Pages: 281-289, Published: JUL 2019
Scientia Agricola, Vol 76, Iss 4, Pp 281-289
Sugarcane mills in Brazil collect a vast amount of data relating to production on an annual basis. The analysis of this type of database is complex, especially when factors relating to varieties, climate, detailed management techniques, and edaphic c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c642a7746803e38299d6853e5b04db8b
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001400281
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162019001400281
Autor:
Luiz Henrique Antunes Rodrigues, Felipe Ferreira Bocca, Matheus Agostini Ferraciolli, Vitor Hiroya Nisieimon
Publikováno v:
Revista dos Trabalhos de Iniciação Científica da UNICAMP.
Predicting the final yield of a crop is one of the most important aspects of a mill's agricultural planning. However, numerous factors must be considered to ensure a realistic forecast. Data mining techniques are capable of generating models that pre
Publikováno v:
Revista dos Trabalhos de Iniciação Científica da UNICAMP.
With the advancement of technology and the low cost of equipment, the possibility to analyze and accompany vegetative vigor in real time is the reality. The vigor is related with the leaf area index, which is a metric obtained by a relation between t
Publikováno v:
Revista dos Trabalhos de Iniciação Científica da UNICAMP.
Given the potential of low cost sensors for agriculture, a monitoring system with low cost components was constructed to evaluate its capacity to detect variations in vegetative vigor in smooth lettuce seedlings under different growing conditions. Th
Publikováno v:
Computers and Electronics in Agriculture. 128:67-76
Data-mining techniques were applied to data from sugarcane production.The impact of different approaches to include weather data was evaluated.The RReliefF algorithm is used to evaluate feature engineering.We evaluated the impact of tuning, feature s
Publikováno v:
Agricultural Systems. 135:48-56
The production planning processes of sugarcane mills require quantitative information to support decisions on sugarcane yield and the effects of decisions made during planning. An exploratory study was conducted at a sugarcane mill with the goals of