Current Research in Agriculture and Farming (CRAF)
Year : 2021, Volume : 2, Issue : 3
First page : (41) Last page : (44)
Article doi: : http://dx.doi.org/10.18782/2582-7146.144
Automated Identification and Monitoring of Fruit Fly
Huda Bilal1*, Sanaullah1, Sana Sarfaraz1, Mutahira Syed2, M. Ahmed Nawaz3, Umer Sharif1, Maryam Fatima1, Hasnain Raza4, Ali Raza5 1Institute of Plant Protection, MNS-University of Agriculture, Multan, Pakistan 2Department of Computer Science, MNS-University of Agriculture, Multan, Pakistan 3Department of Entomology, Bahauddin Zakariya University, Bahadur sub-campus, Layyah, Pakistan 4Department of Soil and Environmental Sciences, MNS-University of Agriculture, Multan, Pakistan 5Department of Food Science and Technology, MNS-University of Agriculture, Multan, Pakistan
*Corresponding Author E-mail: hudailal748@gmail.com
Received: 4.05.2021 | Revised: 11.06.2021 | Accepted: 20.06.2021
ABSTRACT
The fruit fly is an invasive pest that causes significant loss in horticultural crop production by damaging the fruit quality. For the integrated management of fruit fly, monitoring is a major component. Automated pest monitoring is most promising and advanced for monitoring and accurate assessment of the status of the fruit fly. The need of the hour is to automate and monitor pest populations using advanced technologies to save time and to examine the real-time situation of the field. The purpose of this paper is to discuss the approaches and sensors which detect and monitor fruit flies automatically.The review focuses on image-based sensors for identifying fruit flies, analyzing the wing beat biometric signature with optoelectronics sensors, direct counting with photo interruption sensors and E-Traps that can provide real-time field information, and presenting the various integrated systems available.With a real-time imaging system, all information about the fruit fly population and infection rate is recorded and maintained in a database. All of this has resulted in enhanced monitoring systems for fruit fly integrated pest management.
Full Text : PDF; Journal doi : http://dx.doi.org/10.18782
Cite this article: Bilal, H., Sanaullah, Sarfaraz, S., Syed, M., Ahmed Nawaz, M., Sharif, U., Fatima, M., Raza, H., & Raza, A. (2021). Automated Identification and Monitoring of Fruit Fly, Curr. Rese. Agri. Far. 2(3), 41-44. doi: http://dx.doi.org/10.18782/2582-7146.144
