MBZUAI has launched the Institute for Agriculture and Artificial Intelligence (IAAI) in collaboration with the UAE Presidential Court and the Gates Foundation. The IAAI will focus on strengthening global food security by providing digital advisory tools to over 43 million smallholder farmers. The institute will develop a new data corpus for agriculture to train AI models and offer localized insights on crops, pests, soils, weather, and markets. Why it matters: This initiative highlights the UAE's commitment to using AI for global good, specifically addressing food security challenges and empowering small-scale farmers through advanced technologies.
KAUST's Center of Excellence for Sustainable Food Security (CoE-SFS) has launched 12 translation projects focused on plant growth and water security, establishing partnerships with public and private entities to scale up research. Mark Tester's team developed stress-tolerant rootstocks, grafted onto crops like tomatoes, that thrive in hot, dry conditions with increased yields. Through his start-up Iyris, Tester is conducting commercial field trials in over 12 countries. Why it matters: These efforts to adapt agriculture to environmental change are crucial for ensuring food security in Saudi Arabia, the region, and globally, especially in the face of climate change and limited water resources.
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.
KAUST researchers have developed a surface treatment for jute storage bags to prevent moisture-induced damage to stored grains. The treatment involves roughening the jute surface with an alkali and applying a thin layer of paraffin wax. Experiments showed that seed moisture content reduced by up to 7.5 percent in wax-coated bags, and seed germination efficacy after storage was up to 35 percent higher. Why it matters: This simple, scalable technique could significantly reduce grain losses in developing countries and provide an environmentally friendly alternative for grain storage.
KAUST Professor Salim Al-Babili is working to improve crop performance and nutritional value, with a focus on pearl millet. He received a $5 million grant from the Gates Foundation in 2018 to combat the parasitic plant Striga hermonthica, which causes billions in losses annually in Sub-Saharan Africa. His team is developing hormone-based strategies to protect pearl millet from Striga infestation, a project spanning lab research to field trials in Saudi Arabia and Africa. Why it matters: This research addresses critical food security challenges in both Africa and the Middle East by developing practical tools for smallholder farmers, bridging the gap between lab discoveries and real-world applications.
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.
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.
A KAUST and KFUPM student team won at the Saudi Telecom Company (STC) AIoT Hackathon for their AgriDoctor project, an autonomous, sustainable, intelligent agriculture system. The team developed a business plan, trained neural networks for problem detection, and built an IoT device with agricultural sensors. The AgriDoctor system aims to improve crop yields and reduce resource consumption in agriculture. Why it matters: This win highlights the growing focus on AI and IoT applications in Saudi Arabia, particularly in the key domain of sustainable agriculture.