All Outputs (2)

Precision agricultural robotic sprayer with real-time Tobacco recognition and spraying system based on deep learning (2023)
Journal Article
Nasir, F. E., Tufail, M., Haris, M., Iqbal, J., Khan, S., & Khan, M. T. (2023). Precision agricultural robotic sprayer with real-time Tobacco recognition and spraying system based on deep learning. PLoS ONE, 18(3 MARCH), Article e0283801. https://doi.org/10.1371/journal.pone.0283801

Precision agricultural techniques try to prevent either an excessive or inadequate application of agrochemicals during pesticide application. In recent years, it has become popular to combine traditional agricultural practices with artificial intelli... Read More about Precision agricultural robotic sprayer with real-time Tobacco recognition and spraying system based on deep learning.

Unscented Kalman filter for airship model uncertainties and wind disturbance estimation (2021)
Journal Article
Wasim, M., Ali, A., Ahmad Choudhry, M., Saleem, F., Shaikh, I. U. H., & Iqbal, J. (2021). Unscented Kalman filter for airship model uncertainties and wind disturbance estimation. PLoS ONE, 16(11 November), Article e0257849. https://doi.org/10.1371/journal.pone.0257849

An airship is lighter than an air vehicle with enormous potential in applications such as communication, aerial inspection, border surveillance, and precision agriculture. An airship model is made up of dynamic, aerodynamic, aerostatic, and propulsiv... Read More about Unscented Kalman filter for airship model uncertainties and wind disturbance estimation.