Fruit Fly Detection and Classification in IoT Setup

Fasih, Syed M.; Ali, Asad; Mabood, Talha; Ullah, Atif; Hanif, Muhammad; Ahmad, Waqar

doi:10.1007/978-3-031-37117-2_40

Cited by 1 publication

(2 citation statements)

References 14 publications

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“…This involves a careful system design, since a rural scenario consists of an extensive area devoid of an electrical power supply and available wired connections. Automatic monitoring stations technology is introduced in Precision Agriculture strategy (PA) to obtain accurate real time field information and make accurate and optimum decisions Bjerge et al (2023); Fasih et al (2023).…”

Section: Publisher's Notementioning

confidence: 99%

“…The second one is related to solve the identification process and reduce the time needed to check the fly traps. The authors in Bjerge et al (2023); Fasih et al (2023) describe a procedure to identify the fruit fly using image segmentation techniques using a camera as a sensor and some computing process to obtain the identification results. Although, the procedure is proposed using a MacPhil trap.…”

Section: Publisher's Notementioning

confidence: 99%

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IoT, UAV, BCI Empowered Deep Learning models in Precision Agriculture

2024

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Section: Publisher's Notementioning

confidence: 99%

Section: Publisher's Notementioning

confidence: 99%