Introduction:
Digital agriculture has the potential to improve multiple components of agri-food systems across the MENA region. These technologies can increase efficiency in primary agricultural production, supply chain logistics, and natural resource management, particularly in water use. Despite this potential, adoption of digital technologies in MENA agriculture remains at an early stage. Most current applications are concentrated in high-value agricultural sectors, particularly in Gulf countries targeting domestic markets and in “Mashreq” countries producing for export markets. In many cases, the primary driver of adoption is economic sustainability, such as increasing productivity or reducing operational costs (Bahn et al., 2021).
Digital technologies in agriculture have strong potential to transform farming practices and contribute to environmental and social sustainability. Automation and robotics can support activities across the agri-food sector from surveying and planting to livestock monitoring and food delivery improving safety but possibly reducing labor needs and affecting employment. Environmentally, digital agriculture can promote more efficient use of scarce resources such as water and land, reduce excessive inputs like fertilizers and pesticides that cause soil and water pollution, and lower greenhouse gas emissions by decreasing fuel use, nitrogen fertilizers, and land tillage. Additionally, greater efficiency may reduce pressure on natural resources and land clearing, helping maintain biodiversity and ecosystem services. Overall, evidence shows that digital agriculture can positively impact the environmental, social, and economic dimensions of sustainability (Herrero et al., 2021).
Several digital innovations are currently transforming dairy farming systems and improving sustainability outcomes. The following technologies represent Key Digital Innovations in Dairy Farming.
- Precision Feeding Systems
Precision feeding represents a shift from traditional feeding strategies toward individualized nutrition management for dairy cows. Instead of providing the same feed ration to the entire herd, precision systems use sensors and data analytics to monitor each animal’s health status, milk production, weight, and feeding behavior.
Total Mixed Ration monitoring systems such as near infrared spectroscopy and body condition scoring cameras, can collect real-time data that allows farmers to adjust feed composition for individual cows. This targeted feeding strategy improves efficiency and reduces waste. Research shows that precision dairy feeding can reduce feed costs by around 5% per kilogram of milk while increasing milk yield by 2.4% (Chase and Fortina, 2023).
Moreover, better nutrition leads to improved immunity, reproductive performance, and longer productive lifespans for dairy cows.
Another important sustainability aspect is the reduction of agriculture’s environmental footprint. Optimizing feed composition and replacing high-impact ingredients such as soy with lower-carbon alternatives can significantly reduce emissions associated with livestock production (O’Halloran, 2023).
- Automated Herd Health Monitoring
Digital health monitoring systems use wearable sensors, electronic ear tags, and smart collars to track animal behavior and physiological indicators. These systems monitor factors such as rumination patterns, activity levels, body temperature, and resting behavior. The data collected by these devices can detect early signs of disease, often up to 48 hours before visible symptoms appear. Early detection enables farmers to intervene quickly, improving treatment outcomes while reducing the use of antibiotics and other medications.
These technologies also improve herd management. Automated monitoring systems have been shown to reduce cases of clinical mastitis by around 30% and lower veterinary costs by approximately 25% (Gusain, 2023).
- Robotics and Automated Milking
Robotic milking systems allow cows to be milked voluntarily while sensors monitor milk quality and udder health. Automated robotic milking systems have also led to more flexible working hours for workers and improved cow welfare. These technologies can enhance or even improve livestock productivity, welfare, and management (Gamage et al., 2024).
- Smart Resource Management: Water and Environmental Sustainability
Smart water management systems utilize Internet of Things (IoT) sensors, ultrasonic monitoring devices, and machine learning algorithms to track water consumption, detect leaks, and forecast water demand. These systems can integrate weather data and seasonal patterns to improve irrigation planning and reduce water loss.
Cloud-based platforms store and analyze the collected data, allowing farmers and policymakers to better understand water usage patterns. Such systems can also monitor water quality, ensuring safe and efficient resource management. For countries in the Gulf Cooperation Council (GCC), adopting advanced water technologies could reduce freshwater use in agriculture and help increase domestic food production, which remains a key strategic objective (Aivazidou et al., 2021; Al-Shehri, 2018).
- Supporting Small Dairy Farmers Through Mobile Technologies
While large dairy companies often lead technological innovation, digital tools can also support small-scale farmers, who represent a significant portion of livestock producers in developing countries.
Mobile applications have emerged as cost-effective tools for collecting and managing farm data. In Egypt, researchers developed a mobile application that allows farmers to record herd performance data through simple icons on a smartphone. Farmers can report events such as milk production, feeding practices, and reproductive data. These reports are transmitted through SMS to agricultural technicians who analyze the information remotely. (Fouad et al., 2021).
The farmers could effectively use the technology regardless of age or education level, highlighting the potential for mobile solutions to improve data collection and farm management in rural areas. Such systems can help policymakers and agricultural advisors design better strategies for improving productivity and supporting smallholder dairy farmers.
Case Study: Almarai’s Digital Transformation
One of the most prominent examples of digital transformation in the dairy industry is Almarai, a leading dairy producer in Saudi Arabia (Dairy Business Middle East & Africa, 2024).
The company has initiated a major digital transition by migrating its core systems to Google Cloud infrastructure. This move allows Almarai to integrate artificial intelligence and machine learning into its operations.
Cloud technology enables the company to:
- Analyze large volumes of operational data
- Optimize production schedules
- Improve product quality and traceability
- Enhance supply chain management
Additionally, the integration of IoT devices on farms allows real-time monitoring of herd health, feeding patterns, and milk yield. These technologies provide valuable insights that improve productivity and help the company respond more effectively to market demand.
As global dairy demand continues to grow, digital technologies will become essential for companies seeking to scale operations efficiently and remain competitive.
Conclusion
In the MENA region, these technologies offer significant opportunities to address pressing challenges such as water scarcity, food security, and agricultural efficiency.
As digital tools become more accessible and affordable, their integration into agricultural practices will play a crucial role in building resilient, efficient, and sustainable food systems for the future.
References
Aivazidou, E., Banias, G., Lampridi, M., Vasileiadis, G., Anagnostis, A., Papageorgiou, E., & Bochtis, D. (2021). Smart technologies for sustainable water management: An urban analysis. Sustainability, 13(24), 13940. https://doi.org/10.3390/su132413940
Al-Shehri, M. M. (2018). Sustainable agriculture in the Arabian/Persian Gulf region utilizing marginal water resources: Making the best of a bad situation. Sustainability, 10(5), 1364. https://doi.org/10.3390/su10051364
Bahn, R. A., Yehya, A. A. K., & Zurayk, R. (2021). Digitalization for sustainable agri-food systems: potential, status, and risks for the MENA region. Sustainability, 13(6), 3223.
Chase, L. E., & Fortina, R. (2023). Environmental and economic responses to precision feed management in dairy cattle diets. Agriculture, 13(5), 1032.
Dairy Business Middle East & Africa. (2024, November 7). Future of dairy to embrace digital transformation: Almarai’s migration to Google Cloud. Dairy Business Middle East & Africa. https://dairybusinessmea.com/2024/11/07/future-of-dairy-to-embrace-digital-transformation-almarais-migration-to-google-cloud/
Fouad, K., Alary, V., Dubron, A., Bonnet, P., Juanes, X., Nigm, A., Radwan, M. A., & Abdelghany, S. (2021). Developing a data collection application for following up the small-scale dairy farms’ performance in rural areas. Egyptian Journal of Animal Production, 58(2), 63-70. https://agritrop.cirad.fr/598969/1/EJAP_Volume%2058_Issue%202_Pages%2063-70.pdf
Gamage, A., Gangahagedara, R., Subasinghe, S., Gamage, J., Guruge, C., Senaratne, S., … & Merah, O. (2024). Advancing sustainability: The impact of emerging technologies in agriculture. Current Plant Biology, 40, 100420..
Gusain, P. (2023, December 12). Middle East and Africa dairy herd management market size, share and trends analysis report – Industry overview and forecast to 2033. Data Bridge Market Research. https://www.databridgemarketresearch.com/reports/middle-east-and-africa-dairy-herd-management-market
Herrero, M., Thornton, P. K., Mason-D’Croz, D., Palmer, J., Bodirsky, B. L., Pradhan, P., … & Rockström, J. (2021). Articulating the effect of food systems innovation on the Sustainable Development Goals. The Lancet Planetary Health, 5(1), e50-e62.
O’Halloran, C. (2023, November 27). Food security and sustainability in the Middle East. Dairy Global. https://www.dairyglobal.net/health-and-nutrition/nutrition/food-security-and-sustainability-in-the-middle-east/#:~:text=Agolin%20Ruminant%20is%20a%20nutritional,demands%20an%20all%2Dencompassing%20solution
Prepared by Mireille Zeineldine, Agricultural engineer; Layla Fleyfel, Ph.D. in Environmental sciences.