• Air pollution and fog detection through vehicular sensors

      Sallis, P; Dannheim, C (IEEE Xplore, 2015)
      We describe a method for the automatic recognition of air pollution and fog from a vehicle. Our system consists of sensors to acquire main data from cameras as well as from Light Detection and Recognition (LIDAR) instruments. ...
    • Climate change and grape wine quality: a GIS approach to analysing New Zealand wine region

      Shanmuganathan, S; Narayanan, A; Sallis, P (InTech, 2012)
      The influences of seasonal climate variability on the phenological dynamics of certain terrestrial communities observed mostly since the mid‐20th century are seen as leading to unprecedented consequences (Richard, et al., ...
    • Data Mining Methods to Generate Severe Wind Gust Models

      Shanmuganathan, S; Sallis, P (MDPI AG, Basel, Switzerland., 2014)
      Gaining knowledge on weather patterns, trends and the influence of their extremes on various crop production yields and quality continues to be a quest by scientists, agriculturists, and managers. Precise and timely ...
    • Data mining methods to generate severe wind gust models

      Shanmuganathan, S; Sallis, P (MDPI AG, Basel, Switzerland., 2014)
      Gaining knowledge on weather patterns, trends and the influence of their extremes on various crop production yields and quality continues to be a quest by scientists, agriculturists, and managers. Precise and timely ...
    • Development of environmental monitoring system with wireless sensor networks

      Ghobakhlou, A; Zandi, S; Sallis, P (Modelling and Simulation Society of Australia and New Zealand, 2011)
      Wireless Sensor Network (WSN) technology is becoming increasingly popular, particularly as applied to a variety of monitoring and tracking applications. Recent developments and advances in both information processing and ...
    • Dynamic Multivariate Continuous Data State-space Estimation for Agrometeorological Event Anticipation

      Sallis, P; Hernandez, S; Shanmuganathan, S
      This paper describes the selection of a state-space estimation method for application to the emerging research domain of agrometeorology. The work comes from a wider geocomputational research programme that relates to ...
    • Ecological modelling with self-organising maps

      Shanmuganathan, S; Sallis, P; Buckeridge, J (Modelling & Simulation Society of Australia & New Zealand Inc., 2003)
      Old and new ecological models can be classified into two basic categories: Those aimed at (i) gaining more insight into ecological systems and (ii) producing predictive models of ecosystem behaviour. Many of the models ...
    • Ensemble interpolation methods for spatio-temporal data modelling

      Sallis, P; Hernandez, S (IEEE Computer Society, 2010)
      Real time weather forecasting is a highly influential tool in decision making for agriculture. Geographic Information Systems (GIS) can be built to provide information about topographic data such as elevation and distance ...
    • Environmental monitoring with wireless sensor network

      Ghobakhlou, A; Perera, A; Sallis, P; Diegel, O; Zandi, S (AUT University, 2009)
      A architecture framework is presented for wireless sensor networks (WSN) designed to cap-ture and monitor micro-climates in a crop field. WSN are rapidly improving their place and performance in the automo-tive industry ...
    • Evaluation of spatial interpolation techniques for mapping soil pH

      Zandi, S; Ghobakhlou, A; Sallis, P (Modelling and Simulation Society of Australia and New Zealand, 2011)
      Soil pH has a major effect on plant nutrient availability by controlling the chemical structure of the nutrient. Adjusting soil acidity or alkalinity improves soil nutrition without adding extra fertilizers. Soil nutrients ...
    • Modelling climate change effects on wine quality based on expert opinions expressed in free-text format: the WEBSOM approach

      Shanmuganathan, S; Sallis, P (AUT University, 2009)
      The motivation for modelling the effects of climate change on viticulture and wine quality using both qualitative and quantitative data within an integrated analytical framework is described. The major constraints and ...
    • Modelling the effects of daily extreme weather on grapevine and wine quality

      Shanmuganathan, S; Sallis, P; Narayanan, A (International Environmental Modelling and Software Society (iEMSs), 2010)
      Modelling the effects of climate change on vegetation and agriculture is arguably one of the most challenging issues the scientific community has to deal with in recent times. Grapevine being among the world’s old and most ...
    • Modelling the seasonal climate variability and its effects on vintage wines from Marlborough, NZ

      Shanmuganathan, S; Perez Kuroki, A; Narayanan, A; Sallis, P (IEEE, 2011)
      The paper presents some interim results from an ongoing research on the application of data/text mining methodologies being investigated to modelling the seasonal climate variability and its effects on the world famous ...
    • Modular sensor nodes for environmental data monitoring

      Ghobakhlou, A; Perera, A; Sallis, P; Zandi, S (Massey University, 2010)
      A framework for modular wireless sensor networks (WSN) designed to capture and monitor micro-climates in a crop field. WSN is rapidly improving in automotive industry, agricultural, industrial and environmental monitoring ...
    • Self-organising map methods in integrated modelling of environmental and economic systems

      Shanmuganathan, S; Sallis, P; Buckeridge, J (AUT University; The Australian National University, 2003)
      The need for better techniques, tools and practices to analyse ecological and economic systems in an integrated framework has never been so great. Self-organising map 1 (SOM) methods are utilised for this purpose with two ...
    • Self-organising Maps to Study the Effects of Urbanisation at Long Bay in New Zealand

      Shanmuganathan, S; Sallis, P; Buckeridge, JS (Knowledge Engineering Lab, the University of Otago, 2001)
      Biologically inspired Artificial Neural Network (ANN) modelling methods provide a means of problem solving that incorporates heuristics with conventional algorithmic processing Over the last few decades, ...
    • Sensing instrumentation for micro-environment data management

      Sallis, P (AUT University, 2011)
      This presentation describes an international research collaboration relating to micro-environment data monitoring and modelling for applications in agriculture. The particular area of agriculture in focus at this time is ...
    • Single versus multi species indicators in environmental modelling: a review [CD-ROM]

      Shanmuganathan, S; Singh, VP; Yudav, RN; Sallis, P; Buckeridge, J (Council of Scientific and Industrial Research (CSIR), 2003)
      The use of biological responses in environmental modelling, also referred to as biomonitoring, mainly involves indicator species or communities those accumulate pollutants in their tissues from the surrounding environment, ...
    • Spatial variability on soil pH gradient: a case study in vineyards

      Scannavino, JR; Perez-Kuroki, AJ; Ghobakhlou, A; Sallis, P; Shanmuganathan, S; Cruvinel, PE (The Modelling and Simulation Society of Australia and New Zealand Inc. (MSSANZ), 2011)
      Soil pH gradient is an indicator of microorganisms and bacteria population in root zones with effects on the growth of plants, such as grapevine (Fernandez-Calviño, 2010). The pH gradient analysis can be used to determine ...