Using artificial intelligence to develop automated monitoring systems for the banana and fruit spotting bugs

The reliance on traditional monitoring methods for the fruit (FSB) Amblypelta nitida and banana spotting bugs (BSB) A. lutescens lutescens, such as visual counts and drop sheet methods, characterized by labour-intensive, time-consuming and expensive, and potentially environmentally unfriendly, has resulted in substantial yield losses due to ineffective pest management. To address these challenges, this project aims to revolutionise pest management 1) by developing an AI-driven pest monitoring system, identifying effective lure for BSB and BSB, field surveys using the developed system to gain insights into the prevalence of FSB and BSB across different regions and tree crops, and implementing new materials for slow and constant lure release. This project holds the promise of transforming pest management practices in the Australian horticultural industry by providing accurate and efficient monitoring tools and effective lure for FSB. It addresses critical gaps in current practices, benefiting both growers and the broader horticultural sectors.