Design of a Climate Smart Farming System in East Africa

Doyle, Laura; Oliver, Lauren; Whitworth, Cristina

doi:10.1109/ghtc.2018.8601553

Cited by 8 publications

(3 citation statements)

References 15 publications

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“…CSA adoption not only relates to technological use but also smart farming choices like crop rotations. In Doyle et al [24], a CSA aquaponics system is developed to simultaneously grow fish and vegetables in East Africa. Although their system is not technologically advanced, as a simple water circulation system is used, there is potential for technological integration using the IoT for prediction and control of the amount of water used in the system.…”

Section: Related Work 21 Precision Agriculture Adoptionmentioning

confidence: 99%

Modelling the Temperature Inside a Greenhouse Tunnel

Hull,

van Schalkwyk,

Mabitsela

et al. 2024

AgriEngineering

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Climate-change-induced unpredictable weather patterns are adversely affecting global agricultural productivity, posing a significant threat to sustainability and food security, particularly in developing regions. Wealthier nations can invest substantially in measures to mitigate climate change’s impact on food production, but economically disadvantaged countries face challenges due to limited resources and heightened susceptibility to climate change. To enhance climate resilience in agriculture, technological solutions such as the Internet of Things (IoT) are being explored. This paper introduces a digital twin as a technological solution for monitoring and controlling temperatures in a greenhouse tunnel situated in Stellenbosch, South Africa. The study incorporates an aeroponics trial within the tunnel, analysing temperature variations caused by the fan and wet wall temperature regulatory systems. The research develops an analytical model and employs a support vector regression algorithm as an empirical model, successfully achieving accurate predictions. The analytical model demonstrated a root mean square error (RMSE) of 2.93 °C and an R2 value of 0.8, while the empirical model outperformed it with an RMSE of 1.76 °C and an R2 value of 0.9 for a one-hour-ahead simulation. Potential applications and future work using these modelling techniques are then discussed.

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Section: Related Work 21 Precision Agriculture Adoptionmentioning

confidence: 99%

Modelling the Temperature Inside a Greenhouse Tunnel

Hull,

van Schalkwyk,

Mabitsela

et al. 2024

AgriEngineering

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show abstract

“…In a bid to design an integrated farm that efficiently manages water and reduces climate-demanding inputs, Doyle et al [ 84 ] designed an aquaponics unit for vegetables and fish. The design consists of a 12V DC pump that delivers water from the fish tank to the flood tank, which then supplies the area where the crops are planted at a constant rate.…”

Section: Moving Towards Climate-smart Agriculturementioning

confidence: 99%

Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions

Adesipo

Fadeyi

Kuča

et al. 2020

Sensors

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Attention has shifted to the development of villages in Europe and other parts of the world with the goal of combating rural–urban migration, and moving toward self-sufficiency in rural areas. This situation has birthed the smart village idea. Smart village initiatives such as those of the European Union is motivating global efforts aimed at improving the live and livelihood of rural dwellers. These initiatives are focused on improving agricultural productivity, among other things, since most of the food we eat are grown in rural areas around the world. Nevertheless, a major challenge faced by proponents of the smart village concept is how to provide a framework for the development of the term, so that this development is tailored towards sustainability. The current work examines the level of progress of climate smart agriculture, and tries to borrow from its ideals, to develop a framework for smart village development. Given the advances in technology, agricultural development that encompasses reduction of farming losses, optimization of agricultural processes for increased yield, as well as prevention, monitoring, and early detection of plant and animal diseases, has now embraced varieties of smart sensor technologies. The implication is that the studies and results generated around the concept of climate smart agriculture can be adopted in planning of villages, and transforming them into smart villages. Hence, we argue that for effective development of the smart village framework, smart agricultural techniques must be prioritized, viz-a-viz other developmental practicalities.

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“…The water resource in fish farming contains the water we need to change every once a week because of low water quality. So that water can be passed through the following vegetable plants, it grows simultaneously, gives benefits, and doubles profit, and the process is called aquaponics [3,6,24]. To address the challenges and ensure sustainable food production, smart artificial fish farming (SAFF-M) emerges as a revolutionary approach and practice.…”

Section: Introductionmentioning

confidence: 99%

Smart Artificial Fish Farming and Maintenance Saff-M

2024

IJPREMS

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Fish farming, or aquaculture, is a profitable business with applications in food, medicine, and research industries, offering high protein sources from various fish types. Two main forms of fish farming are natural and artificial, with artificial farming evolving towards efficiency, productivity, and sustainability. Smart fish farming incorporates key components like microcontrollers, utilizing sensors for real-time monitoring of water quality and feeding. Future advancements involve Artificial Intelligence (AI) and Machine Learning to optimize operations and reduce errors. Automation technology streamlines tasks such as feeding and waste management, reducing labor requirements and ensuring optimal conditions for fish welfare. The Smart Artificial Fish Farming and Maintenance (SAFF-M) project focuses on precision in aquaculture techniques, aiming to enhance fish growth, minimize investor stress, and improve product quality and quantity. These advancements in smart fish farming are revolutionizing the industry by integrating technology for more efficient and sustainable practices.

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Design of a Climate Smart Farming System in East Africa

Cited by 8 publications

References 15 publications

Modelling the Temperature Inside a Greenhouse Tunnel

Modelling the Temperature Inside a Greenhouse Tunnel

Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions

Smart Artificial Fish Farming and Maintenance Saff-M

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