Systems Design and Optimisation
Key Areas
This programme investigates, develops and transfers innovative systems that optimise industry agricultural performance. Research, development and innovation is conducted in five main areas.
Research in this Key Area focuses on topical issues pertaining to production sustainability, including:
- Determination of the impact of salinity and sodicity for soil and water used for irrigation on production sustainability.
- Assessment of the impacts of agronomic and mechanisation issues on production efficiencies and sustainability;
- Determination of opportunities for on-farm energy savings and reduction of carbon dioxide emissions;
- Deployment of novel technologies to improve operational efficiencies and services to the industry; and
- Development of new and improvement of existing technologies and approaches to further promote alignment between research and development and industry requirements.
Research in this Key Area focuses on the:
- Development of recommendations and advice to promote effective water management and deployment of associated technologies, both in terms of irrigation practices and surface water management; and
- Analysis of the socio-technical drivers of adoption of technology, recommendations and best practice advice, with specific reference to irrigation scheduling.
This Key Area encompasses the adaptation, development and deployment of technologies that focus on enhancing SASRI internal efficiencies and the quality of service provision by the institute to the industry.
This research area aims to adapt an existing sugarcane crop forecasting system (a model-based system) to utilise real-time estimates of canopy cover derived from remotely sensed data. It is believed that this will improve the quality of crop forecasts, enabling improved efficiency of cane supply and value chains.
Although the concept has been proven before and is used for other crops, the application of the approach to operational sugarcane crop forecasting is unique internationally.
Remote sensing work has been extended to the automation of obtaining accurate shape files of sugarcane fields and the identification of land use by sugarcane.
This work aims to equip the small-scale grower with knowledge required to utilise the potential of his environment to earn a sustainable livelihood.
- Focus areas are irrigation, pest and disease control and variety selection.
- In a proof-of-concept project, drones are used on small and fractioned land to apply ripeners to add value to the crop.
- The development of a database of each small-scale grower region to be used by extension. From this database soil property maps are produced.
- The development of a soil sustainability modular course rich in demonstration tools teaching soil properties and their management for sustainable production.
Dr David Clark
Programme Manager: SYstems Design & Optimisation;
Cropping Systems Modeller
Tel: 031 508 7456
Email: david.clark@sugar.org.za
Role
- To lead and conduct agronomic systems modelling research and development aimed at enhancing the competitiveness and sustainability of sugarcane production in South Africa. This includes developing and applying models of sugarcane crop growth, pest risk and other aspects to explore strategic research questions across a range of themes, including crop physiology, pest impacts, yield dynamics and climate change, at scales ranging from individual fields to the whole industry.
- To apply systems thinking to the sugarcane production value chain to identify opportunities for improved efficiencies, to drive more profitable and sustainable sugarcane production by sugarcane growers and other industry stakeholders.
Expertise
- Agricultural Engineering
- Simulation model development
- Simulation model application
- Data analytics and visualisation
- Natural capital accounting
Research Interests
- Understanding the interface between natural and engineered systems for optimised and sustainable production.
- Understanding the spatial and temporal variability of biophysical systems.
- The application of remotely sensed datasets and learning from big data.
Key Publications
Peerbhai, T., Chetty, K.T., Clark, D.J. and Gokool, S. (2022). Estimating evapotranspiration using earth observation data: A comparison between hydrological and energy balance modelling approaches. Journal of Hydrology, 613, https://doi.org/10.1016/j.jhydrol.2022.128347.
Suleman, S., Chetty, K.T., Clark, D.J. and Kapangagaziwiri, E. (2020). Assessment of satellite-derived rainfall and its use in the ACRU agro-hydrological model. Water SA, 46:4, DOI: 10.17159/wsa/2020.v46.i4.9068.
Clark, D.J. (2019). Object-Orientation and Integration for Modelling Water Resource Systems Using the ACRU Model. Unpublished PhD thesis, School of Engineering, University of KwaZulu-Natal, Pietermaritzburg, South Africa.
Clark, D.J. (Editor) (2019). Development and Assessment of an Integrated Water Resources Accounting Methodology for South Africa: Phase 2. Water Research Commission, Pretoria, South Africa. WRC Report No. 2512/1/19
Qualifications
- PhD (Agricultural Engineering), University of KwaZulu-Natal.
- MSc Eng (Agricultural Engineering), University of Natal.
- BSc Eng (Agricultural Engineering), University of Natal.
Current Projects
Refining the Crop Forecast Database and Model
The development of soil quality databases for SSG regions
Soil conservation learning resources for small-scale extension
Technology Development for Small-scale Growers: Pest, Disease, Weed and Variety Management
Development of Datasets for Multi-Scale Water Resource Assessments
Investigating alternative energy supplies to assist with load shedding
A geospatial workflow for extracting crop panel/field boundaries for the area under cane
Land cover mapping and monitoring for the sugar industry
Survey123 Forms as a coordinated approach to data collection
Creating geo-spatial platforms to support SASRI research and services
Development of an application to record and detail extension contacts with growers and other noteworthy observations
Developing and documenting of standard operating procedures for NovaCane® plantlet production
Assessing the protocols for setting irrigation scheduling management lines (soil water thresholds) for capacitance soil water sensors (probes)