Publications

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2023
Weakly and semi-supervised detection, segmentation and tracking of table grapes with limited and noisy data, Ciarfuglia, Thomas A., Motoi Ionut M., Saraceni Leonardo, Fawakherji Mulham, Sanfeliu Alberto, and Nardi Daniele , COMPUTERS AND ELECTRONICS IN AGRICULTURE, Volume {205}, Number {False}, p.False-False, (2023)
2021
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming, Fawakherji, Mulham, Potena Ciro, Pretto Alberto, Bloisi Domenico D., and Nardi Daniele , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {146}, Number {False}, p.103861-False, (2021)
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming, Fawakherji, Mulham, Potena Ciro, Pretto Alberto, Bloisi Domenico D., and Nardi Daniele , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {146}, Number {False}, p.103861-False, (2021)
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming, Fawakherji, Mulham, Potena Ciro, Pretto Alberto, Bloisi Domenico D., and Nardi Daniele , ROBOTICS AND AUTONOMOUS SYSTEMS, Volume {146}, Number {False}, p.103861-False, (2021)
2020
Crop and Weed Classication Using Pixel-wise Segmentation on Ground and Aerial Images, Fawakherji, Mulham , INTERNATIONAL JOURNAL OF ROBOTIC COMPUTING, Volume {2}, Number {1}, p.39-57, (2020)
Crop and Weed Classication Using Pixel-wise Segmentation on Ground and Aerial Images, Fawakherji, Mulham , INTERNATIONAL JOURNAL OF ROBOTIC COMPUTING, Volume {2}, Number {1}, p.39-57, (2020)
Crop and Weed Classication Using Pixel-wise Segmentation on Ground and Aerial Images, Fawakherji, Mulham , INTERNATIONAL JOURNAL OF ROBOTIC COMPUTING, Volume {2}, Number {1}, p.39-57, (2020)
Crop and Weed Classication Using Pixel-wise Segmentation on Ground and Aerial Images, Fawakherji, Mulham , INTERNATIONAL JOURNAL OF ROBOTIC COMPUTING, Volume {2}, Number {1}, p.39-57, (2020)
Crop and Weed Classification Using Pixel-wise Segmentation on Ground and Aerial Images, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico D., Pretto Alberto, and Nardi Daniele , International Journal of Robotic Computing, Volume 2, Number 1, p.39–57, (2020)
Data Augmentation Using GANs for Crop/Weed Segmentation in Precision Farming, Fawakherji, Mulham, Potena Ciro, Prevedello Ibis, Pretto Alberto, Bloisi Domenico D., and Nardi Daniele , IEEE Conference on Control Technology and Applications (CCTA 2020), (2020)
Multi-Spectral Image Synthesis for Crop/Weed Segmentation in Precision Farming, Fawakherji, Mulham, Potena Ciro, Pretto Alberto, Bloisi Domenico D., and Nardi Daniele , arXiv preprint arXiv:2009.05750, (2020)
2019
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico, Pretto Alberto, and Nardi Daniele , Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico, Pretto Alberto, and Nardi Daniele , Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico, Pretto Alberto, and Nardi Daniele , Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico, Pretto Alberto, and Nardi Daniele , Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico, Pretto Alberto, and Nardi Daniele , Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico, Pretto Alberto, and Nardi Daniele , Volume {False}, Number {False}, p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico D., Pretto Alberto, and Nardi Daniele , 2019 Third IEEE International Conference on Robotic Computing (IRC), p.146-152, (2019)
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation, Fawakherji, Mulham, Youssef Ali, Bloisi Domenico, Pretto Alberto, and Nardi Daniele , Volume {False}, Number {False}, p.146-152, (2019)
On Field Gesture-Based Robot-to-Robot Communication with NAO Soccer Players, Valerio, Di Giambattis, Fawakherji Mulham, Suriani Vincenzo, Bloisi Domenico D., and Nardi Daniele , RoboCup 2019: Robot World Cup XXIII, p.367–375, (2019)
Robotics for Precision Agriculture @DIAG, Potena, Ciro, Fawakherji Mulham, Carlos Carbone, Imperoli Marco, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.False-False, (2019)
Robotics for Precision Agriculture @DIAG, Potena, Ciro, Fawakherji Mulham, Carbone Carlos, Imperoli Marco, Nardi Daniele, and Pretto Alberto , Italian Conference on Robotics and Intelligent Machines(I-RIM), (2019)
Robotics for Precision Agriculture @DIAG, Potena, Ciro, Fawakherji Mulham, Carlos Carbone, Imperoli Marco, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.False-False, (2019)
Robotics for Precision Agriculture @DIAG, Potena, Ciro, Fawakherji Mulham, Carlos Carbone, Imperoli Marco, Nardi Daniele, and Pretto Alberto , Volume {False}, Number {False}, p.False-False, (2019)
UAV image based crop and weed distribution estimation on embedded GPU boards, Fawakherji, Mulham, Potena C., Bloisi D. D., Imperoli M., Pretto A., and Nardi D. , Volume {1089}, Number {False}, p.100-108, (2019)
UAV Image Based Crop and Weed Distribution Estimation on Embedded GPU Boards, Fawakherji, Mulham, Potena Ciro, Bloisi Domenico D., Imperoli Marco, Pretto Alberto, and Nardi Daniele , Computer Analysis of Images and Patterns, p.100–108, (2019)
UAV image based crop and weed distribution estimation on embedded GPU boards, Fawakherji, Mulham, Potena C., Bloisi D. D., Imperoli M., Pretto A., and Nardi D. , Volume {1089}, Number {False}, p.100-108, (2019)