Dr Naofel Aljafer
Profiles

Dr Naofel Aljafer

Research Fellow - FIND Project (Agri-tec)

School of Biological and Marine Sciences (Faculty of Science and Engineering)

Dr Aljafer is working with the FIND project to detect and diagnose plant diseases using imaging techniques: Chlorophyll Fluorescence (CF) Imaging and Normalised Difference Vegetative Index (NDVI). He is also aiming to optimise early detection methods of nutrient deficiency and disease symptoms for crops grown in open field, greenhouse, and plant factory systems.

Qualifications

2013 - 2017
Ph.D. in Biosciences: School of Biosciences, University of Nottingham. (Thesis Title: Compare and improve phytoplasma diagnostics techniques and use the techniques at evaluate control strategies).
2011 - 2012
M.Sc. in Environmental Bioscience in a Changing Climate: School of Life Science, the University of Warwick.
2005 - 2009
B.Sc. (Hons) in Biotechnology BSc in Agriculture: Faculty of Agriculture Damascus University, Syria (2005/2009). The Graduate Project: Efficacy of Chemical Control against Fusarium Wilt Disease (Fusarium oxysporum f. sp. Lentils) on lentils.

Professional membership

2014 - now Society of the British Society for Plant Pathology (BSPP), UK

2016 - now International Society for Biological and Environmental Repositories (Isber).

2019 - now New Phytologist Trust.

Teaching interests

2013 - 2017

Demonstrator in Introductory Plant pathology Course for MSc students (C123P1), School of Biosciences, University of Nottingham, UK.

2013 - 2017

Demonstrator in Integrated Disease Management for MSc students (D241DM), School of Biosciences, University of Nottingham, UK.

2009 - 2010

Teaching & Research Assistant (Microbiology & Plant Protection) Faculty of Agriculture, Damascus University, Syria.


Research interests

We are deploying fluorescence imaging equipment in vertical farming systems to monitor plant disease and nutritional status. We are working alongside our sister project, Plant Factory, in order to provide an integrated sensing system and we are developing knowledge which will allow for the automatic assessment of plant health.