Modelling water - use and yield of selected irrigated subtropical crops using machine learning and hybrid models in north - eastern South Africa
University of Zimbabwe · Stellenbosch University · +7 more institutions
Abstract
The Inkomati-Usuthu Water Management Area in Mpumalanga, South Africa, is a main producer of subtropical crops. These crops are mainly produced under irrigation, yet water resources in this catchment are nearly fully allocated. This calls for improved irrigation efficiency in the region to save water needed for supporting agricultural expansion. Accurate derivation of crop coefficients ( K c ) and yield response factors ( K y ) is vital for irrigation management and yield prediction. In this study, transpiration ( T ) for the crops was measured using the heat ratio method of monitoring sap flow while evapotranspiration ( ET ) was quantified using eddy covariance and surface renewal techniques. Leaf area index…
Citation impact
- FWCI
- 44.22
- Percentile
- 99%
- References
- 134
Authors
9- PDPrince DangareCorresponding
University of Zimbabwe, Stellenbosch University
- PJPaul JR Cronje
Stellenbosch University, Citrus Research International
- ZEZama Eric Mashimbye
Stellenbosch University
- JMJ. Masanganise
Bindura University of Science Education, Stellenbosch University
- ZNZanele Ntshidi
Sol Plaatje University, South African Environmental Observation Network
Topics & keywords
- Evapotranspiration
- Crop coefficient
- Gradient boosting
- Irrigation scheduling
- Boosting (machine learning)
- Irrigation
- Crop yield
- Yield (engineering)
- Clean water and sanitation