Ghent University Academic Bibliography

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Deoxynivalenol prediction and spatial mapping in wheat based on online hyperspectral imagery scanning

Mhd Baraa Almoujahed (UGent) , Enrique Apolo Apolo (UGent) , Mohammad Alhussein, Marius Kazlauskas, Zita Kriaučiūnienė, Egidijus Šarauskis and Abdul Mouazen (UGent)

(2025) SMART AGRICULTURAL TECHNOLOGY. 11.
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- A2
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Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking

Maarten Perneel (UGent) , Ines Adriaens (UGent) , Ben Aernouts and Jan Verwaeren (UGent)

(2025) SMART AGRICULTURAL TECHNOLOGY. 11.
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- A2
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Identification of nutrient deficiency stress for iron, zinc and manganese in baby spinach using computer vision

Maryam Nadafzadeh, Ahmad Banakar, Saman Abdanan Mehdizadeh, Saeid Minaei, Abdul Mouazen (UGent) and Gerrit Hoogenboom

(2025) SMART AGRICULTURAL TECHNOLOGY. 12.
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Precision application of combined manure, compost and nitrogen fertilizer in potato cultivation using online vis-NIR and remote sensing data fusion

Muhammad Qaswar (UGent) and Abdul Mouazen (UGent)

(2025) SMART AGRICULTURAL TECHNOLOGY. 12.
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Comparing the handheld Stenon FarmLab soil sensor with a Vis-NIR multi-sensor soil sensing platform

Alexander Steiger, Muhammad Qaswar (UGent) , Ralf Bill, Abdul Mouazen (UGent) and Görres Grenzdörffer

(2025) SMART AGRICULTURAL TECHNOLOGY. 10.
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A novel on-line dual sensing system for soil property measurement and mapping

Rukayat Oladipupo (UGent) , Muhammad Abdul Munnaf (UGent) , Parsat Sanganta, Ajit Borundia (UGent) and Abdul Mouazen (UGent)

(2024) SMART AGRICULTURAL TECHNOLOGY. 9.

Academic Bibliography

Deoxynivalenol prediction and spatial mapping in wheat based on online hyperspectral imagery scanning

Consistent multi-animal pose estimation in cattle using dynamic Kalman filter based tracking

Identification of nutrient deficiency stress for iron, zinc and manganese in baby spinach using computer vision

Precision application of combined manure, compost and nitrogen fertilizer in potato cultivation using online vis-NIR and remote sensing data fusion

Comparing the handheld Stenon FarmLab soil sensor with a Vis-NIR multi-sensor soil sensing platform

A novel on-line dual sensing system for soil property measurement and mapping

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