Advancing precision agriculture: The potential of deep learning for cereal plant head detection von Sanaeifar, Alireza, Guindo, Mahamed Lamine, Bakhshipour, Adel, Fazayeli, Hassan, Li, Xiaoli, Yang, Ce

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Dielectric spectroscopy as a potential technique for prediction of kiwifruit quality indices during storage von Fazayeli, Atefeh, Kamgar, Saadat, Nassiri, Seyed Mehdi, Fazayeli, Hassan, de la Guardia, Miguel

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Potential application of hyperspectral imaging and FT-NIR spectroscopy for discrimination of soilless tomato according to growing techniques, water use efficiency and fertilizer pr... von Fazayeli, Hassan, Amodio, Maria Luisa, Fatchurrahman, Danial, Serio, Francesco, Montesano, Francesco Fabiano, Burud, Ingunn, Peruzzi, Andrea, Colelli, Giancarlo

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Towards Auto-labelling Issue Reports for Pull-Based Software Development using Text Mining Approach von Fazayeli, Hassan, Syed-Mohamad, Sharifah Mashita, Md Akhir, Nur Shazwani

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Sustaining low-impact practices in horticulture through non-destructive approach to provide more information on fresh produce history and quality: the SUS LOW project von Marialuisa Amodio, Giovanni Attolico, Lucia Bonelli, Maria Cefola, Hassan Fazayeli, Francesco Montesano, Bernardo Pace, Michela Palumbo, Francesco Serio, Antonio Stasi, Giancarlo Colelli

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Sustaining low-impact practices in horticulture through non-destructive approach to provide more information on fresh produce history and quality: the SUS&LOW project von Amodio, M, Attolico, G, Bonelli, L, Cefola, M, Fazayeli, H, Montesano, F.F, Pace, B, Palumbo, M, Serio, F, Stasi, A, Colelli, G

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