arXiv ·
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.
arXiv ·
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 ·
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.
KAUST ·
KAUST researchers have identified a gene, CLAMT1b, in pearl millet that affects its vulnerability to the parasitic weed Striga hermonthica. Pearl millet strains lacking CLAMT1b were found to be resistant to the weed, while those expressing the gene were susceptible. The gene's presence leads to the secretion of strigolactones, promoting interaction with Striga, but its absence does not harm symbiotic relationships with beneficial fungi. Why it matters: This discovery offers new breeding strategies to enhance pearl millet's resistance to parasitic weeds, bolstering food security in arid regions like Saudi Arabia and Africa where the crop is vital.
MBZUAI ·
MBZUAI students Mugariya Farooq and Sarah Al Barri created a machine learning framework that classifies plant diseases from images and predicts yield using data inputs. Their project won second place at the Agritech Hackathon organized by the Abu Dhabi Agriculture and Food Security Authority (ADAFSA). The algorithm boasts accuracy above 99% when tested against agricultural scientists. Why it matters: This work showcases AI's potential to revolutionize agriculture in the UAE and the broader MENA region by improving food security, reducing waste, and optimizing resource allocation.
KAUST ·
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.
arXiv ·
This paper introduces a convolutional transformer model for classifying tomato maturity, along with a new UAE-sourced dataset, KUTomaData, for training segmentation and classification models. The model combines CNNs and transformers and was tested against two public datasets. Results showed state-of-the-art performance, outperforming existing methods by significant margins in mAP scores across all three datasets.
KAUST ·
KAUST researchers collaborated to identify molecular pathways for plant biofortification of vitamin A. A KAUST group demonstrated high pressure conversion of carbon dioxide into useful products. Another team designed a biosensor using metal oxide transistors to detect glucose in saliva. Why it matters: These projects highlight KAUST's contributions to biotechnology, environmental sustainability, and healthcare through advanced materials and molecular techniques.