Computer Vision for Life Sciences Research Group

Computer Vision for Life Sciences (CVLS) is a research group in Department of Computer Sciences, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (Institut Pertanian Bogor - IPB). The intention of this group is to provide sufficient background on the state of the art of the computer vision and applied in wide range of areas in life sciences, especially for agriculture and biodiversity. The CVLS focuses on developing computer vision application for life sciences at three level of biodiversity i.e.,genetics diversity, species diversity and ecosystem diversity

We have been fruitful research collaboration for conducting interdisciplinary research on biodiversity and integrated pest management for pest and diseases monitoring with Department of Forest Resources Conservation and Ecotourism – Faculty of Forestry IPB, Department of Plant Protection - Faculty of Agriculture, Department of Infectious Diseases and Veterinary Public Health - Faculty of Veterinary Medicine IPB. Also, we have been international research collaboration with University of Paris Diderot, France and Saga University, Japan. In September 2016, we just signed MoU with pulp and paper company (PT. Arara Abadi) for conducting research on diseases monitoring in forest industry. for more info: Profile CVLS

Research Project Profile

  1. Developing of Smart Internet of Things (IoT) for monitoring Integrated Pest Management System (IPM) based on Computer Vision Technology at PT. Arara Abadi (Pulp and paper company)
  2. Duration: 2017 - 2019

    Description: This research projects is research collaboration between university (IPB), company (PT. Arara Abadi) and goverment (Forest Research and Development Agency of Ministry of Forestry). The objective of this research projects are to develop smart Internet of Thing (IoT) based on computer vision for diseases monitoring at Acacia forest of PT. Arara Abadi.

    Research collaborators: Dr. Yeni Herdiyeni, Dr. Budi Tjahyono, Dr. Elis N Herliyana, Dr. Lilik B Prasetyo, Ir. Julio Adisantoso, Dr. Maman Turjaman, Bayo Alhusaeri Siregar, S.P, M.Si

    Research Funding: Ministry of research, technology and higher education, Republic of Indonesia, PT. Arara Abadi (Research scheme: Program Insinas Riset Pratama Konsorsium)

  3. The impact of Environmental Change on Infectious Diseases: Assesment and Monitoring Malaria in West Bangka, Province of Bangka Belitung
  4. Duration: 2017 - 2019

    Description: This research projects is international research collaboration between IPB and Saga University, Japan which consists of researchers from computer science, forestry, geophysics and meteorology, infectious diseases and veterinary public health, environmental and ecological research. In this research we will study the impact of environmental change for assessing and monitoring malaria risk in West Bangka, Bangka Belitung province.

    Research Collaborators: Dr. Yeni Herdiyeni, Prof. Lilik B Prasetyo, Dr. Etih Sudarnika, Prof. Kohei Arai, Prof. Hiroshi Okumura, Dr. Rahmat Hidayat, Dr. YudiSetiawan.

    Research Funding: Ministry of research, technology and higher education, Republic of Indonesia (Research scheme: International Research Collaboration and Scientific Publication)

  5. Development of Medicinal Plant Leaf Identification system Based on Leaf Biometric Characters to Support Plant Conservation in Indonesia
  6. Duration: 2014 - 2016

    The aim of this projects was to develop computer vision application for extracting biometric features of medicinal leaf based on digital image processing. The objectives of this research were (1) developing computer-aided medicinal plant identification based on geometrical features; (2) developing computer-aided medicinal plant identification based on leaf contour and leaf vein character; (3) developing content-based image retrieval (CBIR) application for species identification. We developed some algorithms and applications for extracting geometrical morphometrics of medicinal leaf (leaf shape, leaf contour and lef vein).

    Research collaborators: Dr. Yeni Herdiyeni, Prof. Stephane Douady, Prof. Ervizal A.M Zuhud, Dr. Irman Hermadi and Ir. Julio Adisantoso, M.Komp

    Research Funding: Ministry of research, technology and higher education, Republic of Indonesia (Research scheme: International Research Collaboration and Scientific Publication)

  7. Developing IPBiotics (IPB Biodiversity Informatics)
  8. Duration: 2013 - 2015

    Description: This study developed a system of IPB's biodiversity informatics (IPBiotics) for managing Indonesian biodiversity information. The research activities were biodiversity exploration, database development and developing web and mobile application for exploration, species distribution and identification.

    Research collaborators: Dr. Yeni Herdiyeni (Dept of Computer Science), Prof. Dr. Ervizal A.M Zuhud (Faculty of forestry), Dr. Agus Hikmat (Faculty of forestry), Dr. Abdul Haris Mustafa (Faculty of Forestry)

    Research Funding: Ministry of research, technology and higher education, Republic of Indonesia (Research scheme: IPB Superior Research)

  9. Development of Computer Vision Technology to Support Integrated Pest Management in Paddy Plantation
  10. Duration: 2013 - 2014

    Description: The aim of this research project was to develop computer vision application for identifying rice diseases based on leaf digital image processing. We analyzed four rice diseases: bacterial leaf blight (Xanthomonas oryzae), blast (Pyricularia oryzae), brown spot (Helminthosporium sp.) and tungro virus. This project was research collaboration between Dept of Computer Science IPB and Dept of Plant Protection IPB.

    Research Collaborators: Dr. Yeni Herdiyeni, Prof. Aunu Rauf, Dr. Kikin Mutaqin, Auzi Asfarian, M.Kom

    Research Funding: Ministry of research, technology and higher education, Republic of Indonesia (Research scheme: IPB Superior Research)

Job Opportunities: Research Assistant!!

We are seeking a research assistant to join our research group within Department of Computer Science IPB. The research assistant will involve in IPBiotics project and MedLeaf Project. Candidates should have good skill in C/C++ or PHP or Python or mobile Android programming. Practical experience in any of the techniques would be advantageous. The candidates should have a good interpersonal and communication skills, excellent time-management, multiple-task handling and good organisation skills.

Enquiries are welcome and can be addressed to Dr. Yeni Herdiyeni at yeni.herdiyeni@ipb.ac.id

Closing date for application is October 20, 2016.

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Apply Now for Research Project!!

A list of research projects currently available for undergraduate and graduate students. We offer research projects for undergraduate students and graduate students in myField project and myID projects.

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