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.
This paper proposes a machine learning method for early detection and classification of date fruit diseases, which are economically important to countries like Saudi Arabia. The method uses a hybrid feature extraction approach combining L*a*b color features, statistical features, and Discrete Wavelet Transform (DWT) texture features. Experiments using a dataset of 871 images achieved the highest average accuracy using Random Forest (RF), Multilayer Perceptron (MLP), Naïve Bayes (NB), and Fuzzy Decision Trees (FDT) classifiers.
KAUST's Center for Desert Agriculture is holding an international conference on November 3-5, 2014, focusing on desert rhizosphere microbes for sustainable agriculture. Researchers aim to understand how plants survive in extreme conditions by studying microbes that help them tolerate heat, drought, and salt. They will explore genetic engineering and natural microbe usage to improve crop performance under heightened stress conditions. Why it matters: This research is critical for adapting agricultural systems to global warming and meeting future food production challenges in arid regions like the Middle East.
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.
Fred Davies from Texas A&M University spoke at KAUST about the challenges of feeding the world's growing population. The keynote address was part of KAUST's Enrichment in the Fall program. Davies discussed the growing needs and problems related to global food production. Why it matters: Such discussions at KAUST can help foster research and innovation in agricultural technologies relevant to Saudi Arabia and the wider region.
Researchers introduce TomFormer, a transformer-based model for accurate and early detection of tomato leaf diseases, with the goal of deployment on the Hello Stretch robot for real-time diagnosis. TomFormer combines a visual transformer and CNN, achieving state-of-the-art results on KUTomaDATA, PlantDoc, and PlantVillage datasets. KUTomaDATA was collected from a greenhouse in Abu Dhabi, UAE.
Professor Heribert Hirt has been appointed as the new Director of KAUST's Center for Desert Agriculture, succeeding Dr. Nina Fedoroff. Professor Mark Tester will assume the role of Associate Director, concentrating on desert agriculture and translational research. Dr. Salim Al-Babili will chair the newly established Plant Sciences program focusing on arid environments. Why it matters: These leadership changes signal KAUST's continued investment in agricultural research and development tailored to challenging desert conditions.
KAUST research scientist Dr. Maged Saad is working on unconventional methods for global food security within the Desert Agriculture Initiative. His research involves using selected strains of bacteria to increase salt tolerance and crop productivity in desert plants. Dr. Saad aims to convert this technology into a marketable product by securing intellectual property rights, testing prototypes with Saudi farmers, and establishing a startup. Why it matters: This research aligns with Saudi Arabia's Vision 2030 goals to enhance local agricultural production and promote sustainable solutions for food security in arid environments.