Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Baisen Zhang"'
Publikováno v:
In Physics Procedia 2011 18:81-84
Autor:
Baisen Zhang, J. O. Carter
Publikováno v:
Computers and Electronics in Agriculture. 150:302-311
Queensland grazing industries operate in one of the world’s most variable climates and face enormous challenges to achieve profitability and sustainability. To assist grazing enterprises, the Queensland Government has developed an operational onlin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4543686fef341bdb921836d017f45dc9
https://doi.org/10.1016/j.compag.2018.05.010
https://doi.org/10.1016/j.compag.2018.05.010
Publikováno v:
Agriculture, Ecosystems & Environment. 239:38-50
Several pasture improvement methods were compared over three years in the humid temperate region of southern Chile. The control treatment was non fertilized naturalized pasture (NFP), and the improvement treatments included fertilized naturalized pas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f50c7d15bdb218ce5000d080cb8d670
https://doi.org/10.1016/j.agee.2017.01.020
https://doi.org/10.1016/j.agee.2017.01.020
Publikováno v:
European Journal of Agronomy. 114:126002
Queensland’s rangelands are an important source for Australia’s pastoral food production. However, they are subject to significant climate variability and will be under increasing pressure as the climate changes, potentially leading to loss of pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::618a713bedd9d332c831f59d56514c40
https://doi.org/10.1016/j.eja.2020.126002
https://doi.org/10.1016/j.eja.2020.126002
Autor:
Baisen Zhang1 Baisen.Zhang@climatechange.qld.gov.au, Tillman, Russ2 R.Tillman@massey.ac.nz
Publikováno v:
Plant & Soil. Dec2007, Vol. 301 Issue 1/2, p267-278. 12p. 2 Diagrams, 2 Charts, 5 Graphs.
Publikováno v:
New Zealand Journal of Agricultural Research. 52:455-470
A decision support tool which integrated a geographic information system (GIS) with decision tree models to predict pasture production and pasture responses to phosphate (P) and nitrogen (N) fertiliser was assessed on two farms with contrasting clima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1860c847f83a9ba201df6fb8027994f3
https://doi.org/10.1080/00288230909510527
https://doi.org/10.1080/00288230909510527
Publikováno v:
Ecological Modelling. 220:1819-1825
Decision tree models were developed to investigate and predict the relative abundance of three key pasture plants [ryegrass (Lolium perenne), browntop (Agrostis capillaris), and white clover (Trifolium repens)] with integration of a geographical info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::123594db445830374cdfa4e9383f6214
https://doi.org/10.1016/j.ecolmodel.2009.04.031
https://doi.org/10.1016/j.ecolmodel.2009.04.031
Publikováno v:
Climatic Change. 84:203-216
To assess the potential impact of climate changes on pasture production in the North Island, New Zealand, eight climate scenarios of increased temperature and increased (or decreased) rainfall were investigated by integrating a polynomial regression
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb19d4d60084aeb2b7959858648e3613
https://doi.org/10.1007/s10584-007-9245-4
https://doi.org/10.1007/s10584-007-9245-4
Publikováno v:
Agricultural Systems. 87:1-17
One challenge in predictive modelling of productivity for pastures varying in topography, soils or management is to achieve the prediction over space with acceptable accuracy. As a new modelling approach, the decision tree has been shown to have high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52ad0727478ba1c6a4a4aef4aaf0c0e1
https://doi.org/10.1016/j.agsy.2004.10.003
https://doi.org/10.1016/j.agsy.2004.10.003
Publikováno v:
Ecological Modelling. 186:299-311
Decision tree, one of the data mining methods, has been widely used as a modelling approach and has shown better predictive ability than traditional approaches (e.g. regression). However, very little is known from the literature about how the decisio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c22a55e66aceeef26cf90426cc724ea
https://doi.org/10.1016/j.ecolmodel.2004.12.016
https://doi.org/10.1016/j.ecolmodel.2004.12.016