Malika Nisal Ratnayake

Malika Nisal Ratnayake
Monash University (Australia) · Faculty of Information Technology

Doctor of Philosophy

About

13
Publications
1,593
Reads
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74
Citations
Citations since 2017
13 Research Items
74 Citations
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2017201820192020202120222023051015202530
Introduction
Developing and implementing Deep Learning and Computer Vision-based systems for pollinator monitoring in agriculture and ethology.
Additional affiliations
June 2016 - May 2017
Asian Institute of Technology
Position
  • Master's Student
Description
  • Master Thesis: Meta-heuristic for a Multi-Objective Multi-Commodity Distribution Network with Environmental Considerations
September 2011 - May 2015
Asian Institute of Technology
Position
  • Student
Description
  • Projects Completed: 1) Development of an Autonomous Luggage Carrying Robot 2) Development of a Hand Gesture Controlled Robot Car 3) Development of a Firefighting Robot 4) Development of a lighting system that can be controlled using a TV remote
Education
August 2015 - May 2017
Asian Institute of Technology
Field of study
  • Industrial and Manufacturing Engineering
September 2011 - May 2015
Asian Institute of Technology
Field of study
  • Mechatronics Enineering
November 2010 - March 2013
Chartered Institute of Management Accountants
Field of study

Publications

Publications (13)
Article
Accurate identification of insect pests is essential in crop management as they are one of the primary causes of yield losses. However, differences between insect species demand different pest control strategies. Hence, research on new technology for fine-grained classification of insect pests is potentially important. Morphologically similar micro...
Article
Full-text available
Insects are the most important global pollinator of crops and play a key role in maintaining the sustainability of natural ecosystems. Insect pollination monitoring and management are therefore essential for improving crop production and food security. Computer vision facilitated pollinator monitoring can intensify data collection over what is feas...
Preprint
Full-text available
Insects are the most important global pollinator of crops and play a key role in maintaining the sustainability of natural ecosystems. Insect pollination monitoring and management are therefore essential for improving crop production and food security. Computer vision facilitated pollinator monitoring can intensify data collection over what is feas...
Article
Accurate identification of insect pests is essential in crop management as they are one of the primary causes of yield losses. However, differences between insect species demand different pest control strategies. Hence, research on new technology for the fine-grained classification of insect pests is potentially important. Morphologically similar m...
Conference Paper
Full-text available
Global food demand is forecast to increase by 56% from 2010 to 2050 (United-Nations, 2019). To ensure food security and meet the demands of the 21 st century, production needs to increase yields and become more resilient and sustainable (FAO, 2018). Crop protection under greenhouses and polytunnels helps boost food production in an increasingly unp...
Article
Full-text available
Over one third of crops are animal pollinated, with insects being the largest group. In some crops, including strawberries, fruit yield, weight, quality, aesthetics and shelf life increase with insect pollination. Many crops are protected from extreme weather in polytunnels, but the impacts of polytunnels on insects are poorly understood. Polytunne...
Article
Full-text available
Monitoring animals in their natural habitat is essential for advancement of animal behavioural studies, especially in pollination studies. Non-invasive techniques are preferred for these purposes as they reduce opportunities for research apparatus to interfere with behaviour. One potentially valuable approach is image-based tracking. However, the c...
Preprint
Full-text available
Monitoring animals in their natural habitat is essential for advancement of animal behavioural studies, especially in pollination studies. Non-invasive techniques are preferred for these purposes as they reduce opportunities for research apparatus to interfere with behaviour. One potentially valuable approach is image-based tracking. However, the c...
Chapter
The paper presents a multi-objective model for solving location-allocation problem (LAP) which considers the greenhouse gas. It involves the determination of the best strategy to distribute the product in a distribution network by selecting proper locations of plants and distribution centers as well as the allocation of products from plants to ware...

Questions

Questions (2)
Question
What are the new and interesting Operation research/optimization problems in the healthcare industry?
Question
What are the new and interesting Operation research/optimization problems in the field of automotive and automobile design (specially related to electric vehicles)

Network

Cited By
    • University of South Florida
    • Swedish Museum of Natural History
    • German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig
    • Helmholtz-Centre for Environmental Research - UFZ / German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig / Friedrich Schiller University Jena, Germany
    • Universidad San Francisco de Quito (USFQ)