Industry 4.0-Based Large-Scale Symbiotic Systems for Sustainable Food Security in Namibia
- 1 January 2021
- book chapter
- other
- Published by IGI Global
Abstract
Climatic changes can cause severe food and water shortages, and desert nations such as Namibia can be challenged more than other countries for obvious reasons. Dependency on imports for food and electricity in Namibia is continuous in recent times. However, Industry 4.0-based large-scale symbiotic systems can potentially help in achieving a sustainable food security regime, as they operate under controlled conditions. Namibia is blessed with abundant sunshine and land availability, and hence, ample opportunities do exist for producing solar energy, which is used to meet the energy requirements of symbiotic systems. This chapter examines typical local operating conditions and then makes a strong case for fully automated symbiotic systems that use low-cost desalination and renewable energies.Keywords
This publication has 23 references indexed in Scilit:
- The necessity of desalination technology for designing and sizing multi-loop aquaponics systemsDesalination, 2018
- Integrating desalination with concentrating solar thermal power: A Namibian case studyRenewable Energy, 2018
- Aquaponics – A Process Control ApproachModern Applied Science, 2017
- Development of the MOOSY4 eNose IoT for Sulphur-Based VOC Water Pollution DetectionSensors, 2017
- An automated solar-powered aquaponics system towards agricultural sustainability in the Sultanate of OmanPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Aquaponics Software in GreeceJournal of FisheriesSciences.com, 2017
- Ipanera: An Industry 4.0 based architecture for distributed soil-less food production systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Advanced aquaponics: Evaluation of intensive tomato production in aquaponics vs. conventional hydroponicsAgricultural Water Management, 2016
- Tensor product model for a Reverse Osmosis systemPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2016
- Sensor Node for Remote Monitoring of Waterborne Disease-Causing BacteriaSensors, 2015