A survey of the applications of Bayesian networks in agriculture
The application of machine learning to agriculture is currently experiencing a “surge of
interest” from the academic community as well as practitioners from industry. This increased …
interest” from the academic community as well as practitioners from industry. This increased …
Using a Bayesian belief network to predict suitable habitat of an endangered mammal–The Julia Creek dunnart (Sminthopsis douglasi)
Wildlife managers are often required to make important conservation and recovery decisions
despite incomplete and uncertain knowledge of the species and ecosystems they manage …
despite incomplete and uncertain knowledge of the species and ecosystems they manage …
Developing decision support tools for rangeland management by combining state and transition models and Bayesian belief networks
State and transition models provide a simple and versatile way of describing vegetation
dynamics in rangelands. However, state and transition models are traditionally descriptive …
dynamics in rangelands. However, state and transition models are traditionally descriptive …
A systems approach to improving the quality of tree seedlings for agroforestry, tree farming and reforestation in the Philippines
The limited supply of high quality planting materials for a wide species base is a major
reason for the limited success of reforestation programmes or projects in many developing …
reason for the limited success of reforestation programmes or projects in many developing …
Participatory development of a Bayesian network model for catchment‐based water resource management
A participatory approach was used to develop a Bayesian network model for assisting
integration of water resource management in the Kongulai catchment in the Solomon …
integration of water resource management in the Kongulai catchment in the Solomon …
How scientific knowledge informs community understanding of groundwater
Robust information is integral to any good decision-making process. Information needs to be
seen as credible by the community and defensible by scientists and independent reviewers …
seen as credible by the community and defensible by scientists and independent reviewers …
Analyzing determinants of long-rotation plantation decisions by local households in Quang Tri Province, Vietnam with Bayesian Networks
Vietnam is one of the most dynamic furniture industries in the world. However, the domestic
raw wood is struggling to meet the demands of the booming furniture industry in quantity and …
raw wood is struggling to meet the demands of the booming furniture industry in quantity and …
Predicting a 'tree change'in Australia's tropical savannas: Combining different types of models to understand complex ecosystem behaviour
AC Liedloff, CS Smith - Ecological Modelling, 2010 - Elsevier
In this study, key ecological modelling limitations of a process-based simulation model and a
Bayesian network were reduced by combining the two approaches. We demonstrate the …
Bayesian network were reduced by combining the two approaches. We demonstrate the …
Expert based model building to quantify risk factors in a combined aquaculture-agriculture system
In recent years, across tropical regions of the world, there has been an expansion of
integrated farming systems that combine rice and shrimp production. While these systems …
integrated farming systems that combine rice and shrimp production. While these systems …
Beyond compliance: project on an integrated systems approach for pest risk management in South East Asia
The Beyond Compliance project, which began in July 2011 with funding from the Standards
and Trade Development Facility for 2 years, aims to enhance competency and confidence in …
and Trade Development Facility for 2 years, aims to enhance competency and confidence in …