Al-Maha Systems, a startup founded by KAUST students, has developed an IoT system for livestock health tracking. The system uses sensors attached to cows to monitor vital data like heart rate and body temperature, transmitting it to a cloud server. The goal is to detect health problems early and optimize breeding times for dairy farms. Why it matters: This innovation can improve efficiency and productivity in Saudi Arabia's dairy industry by leveraging IoT for animal husbandry.
Red Sea Farms, a Saudi AgTech company based at KAUST, secured a $10 million venture capital investment from Saudi and UAE investors. Their technology enables commercial farming using primarily saltwater, reducing freshwater consumption by 85-90%. The funding will be used to expand operations in Saudi Arabia, building more than six hectares of commercial farming facilities. Why it matters: This investment signals growing interest in sustainable AgTech solutions within the Gulf region to enhance food security and combat supply chain disruptions.
Red Sea Farms, a KAUST startup, is advancing its saltwater greenhouse technology with a new 21,000 square foot pilot facility at the KAUST Research & Technology Park. Their greenhouse technology allows for growing crops on marginal land, using 90% less freshwater than traditional methods. The system uses saltwater in greenhouse-cooling and climate control, resulting in a lower environmental footprint. Why it matters: This technology addresses critical food and water security challenges in arid regions by enabling local food production with minimal freshwater resources and reduced energy consumption.
The paper introduces a framework for camel farm monitoring using a combination of automated annotation and fine-tune distillation. The Unified Auto-Annotation framework uses GroundingDINO and SAM to automatically annotate surveillance video data. The Fine-Tune Distillation framework then fine-tunes student models like YOLOv8, transferring knowledge from a larger teacher model, using data from Al-Marmoom Camel Farm in Dubai.
Researchers in Saudi Arabia have developed a deep learning framework for automated counting and geolocation of palm trees using aerial images. The system uses a Faster R-CNN model trained on a dataset of 10,000 palm tree instances collected in the Kharj region using DJI drones. Geolocation accuracy of 2.8m was achieved using geotagged metadata and photogrammetry techniques.
Four KAUST scientists received The Supreme Council of Almarai Prize for Scientific Creativity at the 19th annual award event held at KACST in Riyadh. Mohamed Eddaoudi and Osman Bakr jointly received the Almarai Distinguished Scientist Award. Another KAUST researcher also received an award at the event. Why it matters: The award recognizes and supports scientific research and innovation within Saudi Arabia, promoting scientific excellence among researchers in Saudi universities.
Red Sea Farms, a KAUST spinout agritech company, and SAUDIA have signed an MoU to supply the airline with locally-sourced, sustainable food options. This collaboration aims to reduce SAUDIA's carbon footprint by decreasing reliance on imported goods. Red Sea Farms also assisted SAUDIA on menu development and video content to promote the health and sustainability benefits of the produce. Why it matters: This partnership highlights the growing focus on sustainability within the Saudi aviation sector and demonstrates the potential for agritech companies to contribute to national environmental goals.