I am a masters student currently looking at the development of novel monitoring and control tools for citrus psyllids. My project focuses on testing various semiochemical (odour-based) attractants as a means of improving yellow sticky trap efficacy as a monitoring tool. In addition, I am helping to develop an artificial intelligence driven, vision-based identification system to aid in the timely identification of psyllid pests caught on yellow sticky traps. I have an interest in integrated pest management of insects and I have experience with the identification of various psyllid species, particularly Diaphorinacitri (Asian citrus psyllid) and Trioza erytreae(African citrus triozid), which are two important citrus pests.
I have experience looking at the maximum and minimum thermal tolerance limits of Macrosiphum euphorbiae(Potato aphids) and the effect of nutrition on plasticity in thermotolerance of the Marula fruit fly ( Ceratitis cosyra ). I also have experience with sorting insects like aphids and black flies from suction trap samples as well as experience in identifying Mgenia fuscovaria,which is a planthopper vector for grapevine Aster yellows.
Pullock, D.A., Krüger, K., Manrakhan, A., Yusuf, A.A., Weldon, C.W.. (2024) Addition of selected plant-derived semiochemicals to yellow sticky traps does not improve citrus psyllid captures. Journal of Chemical Ecology 10.1007/s10886-024-01491-0
da Cunha, V.A.G., Pullock, D.A., Ali, M., Neto, A.O.C., Ampatzidis, Y., Weldon, C.W., Krüger, K., Manrakhan, A., Qureshi, J.. (2024) PSYLLID DETECTOR: A web-based application to automate insect detection utilizing image processing and deep learning. Applied Engineering in Agriculture 10.13031/aea.15826