- ORCID iD
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0000-0002-0288-6250
- Bio (via ORCID)
- Muhammad Qaswar received his B.Sc. (Hons) Agriculture in 2015 and M.Sc. (Hons) soil science in 2017 from Bahauddin Zakariya University, Multan, Pakistan and PhD in soil science with outstanding graduate award in 2020 from Chinese Academy of Agricultural Sciences, Beijing, China. He is now a postdoc researcher in the Precision Scoring group at Ghent University and working on ADDFerti project . His fields of interest include, variable rate fertigation, nutrient cycling in cropland, precision agriculture, proximal soil sensing, soil acidification and soil contamination.
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- Journal Article
- A2
- open access
Comparing the handheld Stenon FarmLab soil sensor with a Vis-NIR multi-sensor soil sensing platform
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- Journal Article
- A1
- open access
Corn yield prediction in site-specific management zones using proximal soil sensing, remote sensing, and machine learning approach
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- Journal Article
- A2
- open access
Economic and environmental assessment of variable rate nitrogen application in potato by fusion of online visible and near infrared (Vis-NIR) and remote sensing data
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- Journal Article
- A1
- open access
A hybrid LSTM approach for irrigation scheduling in maize crop
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- Journal Article
- A2
- open access
Spatiotemporal modeling of soil water dynamics for site-specific variable rate irrigation in maize
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- Journal Article
- A1
- open access
An interlaboratory comparison of mid-infrared spectra acquisition : instruments and procedures matter
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- Journal Article
- A1
- open access
Interaction of soil nutrients and arsenic (As) in paddy soil in a long-term fertility experiment
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- Journal Article
- A1
- open access
Spatiotemporal prediction and mapping of heavy metals at regional scale using regression methods and Landsat 7