Onderzoeker
Muhammad Abdul Munnaf
- Disciplines:Plantenbiologie, Dierkundige biologie, Andere milieuwetenschappen, Ecologie, Milieuwetenschappen en management
Affiliaties
- Vakgroep Omgeving (Departement)
Lid
Vanaf1 feb 2018 → 30 nov 2023
Publicaties
1 - 10 van 29
- Visible and near infrared spectroscopy for predicting soil nitrogen mineralization rate : effect of incubation period and ancillary soil properties(2024)
Auteurs: Farida Yasmin Ruma, Muhammad Abdul Munnaf, Stefaan De Neve, Abdul Mouazen
- Precision nitrogen fertilization for opium poppy using combined proximal and remote sensor data fusion(2023)
Auteurs: Muhammad Abdul Munnaf, Angela Guerrero, Maria Calera, Abdul Mouazen
- Management zone-specific N mineralization rate estimation in unamended soil(2023)
Auteurs: Farida Yasmin Ruma, Muhammad Abdul Munnaf, Stefaan De Neve, Abdul Mouazen
Pagina's: 1906 - 1931 - Spectra transfer based learning for predicting and classifying soil texture with short-ranged Vis-NIRS sensor(2023)
Auteurs: Muhammad Abdul Munnaf, Abdul Mouazen
- Mapping soil properties with fixed rank kriging of proximally sensed soil data fused with Sentinel-2 biophysical parameter(2022)
Auteurs: Nikolaos Karapetsas, Thomas K. Alexandridis, George Bilas, Muhammad Abdul Munnaf, Angela Guerrero Castillo, Maria Calera, Anna Osann, Anne Gobin, Tomas Reznik, Dimitrios Moshou
- Map-based site-specific seeding of seed potatoes by fusion of proximal and remote sensing data(2021)
Auteurs: Muhammad Abdul Munnaf, Geert Haesaert, Marc Van Meirvenne, Abdul Mouazen
Aantal pagina's: 1 - Development of a soil fertility index using on-line Vis-NIR spectroscopy(2021)
Auteurs: Muhammad Abdul Munnaf, Abdul Mouazen
- Fusion of Vis-NIR and XRF spectra for estimation of key soil attributes(2021)
Auteurs: Seyed Hamed Javadi, Muhammad Abdul Munnaf
- Clustering-based fusion of proximal and remote sensors data for potato production(2021)
Auteurs: Muhammad Abdul Munnaf, Marc Van Meirvenne, Abdul Mouazen
Pagina's: 76 - 77 - Map-based site-specific seeding of consumption potato production using high-resolution soil and crop data fusion(2020)
Auteurs: Muhammad Abdul Munnaf, Geert Haesaert, Marc Van Meirvenne, Abdul Mouazen