Skip to content
GCC AI Research

Search

Results for "Plant Disease"

Saving miracle grains needed to feed the world

KAUST ·

KAUST researchers are studying the chemical signals in pearl millet that trigger the germination of Striga seeds, a parasitic plant. The research aims to understand the biological compounds involved in Striga infestation. The goal is to induce Striga germination without host plants, reducing Striga seed banks in infested soils. Why it matters: Addressing Striga infestation can improve crop yields and food security, especially in regions relying on pearl millet.

New discovery boosts wheat's fight against devastating disease

KAUST ·

KAUST researchers have discovered the first molecular events that trigger wheat's immunity to stem rust, a devastating fungal disease. The study, published in Science, identifies that tandem kinases are bound together and inactive until a pathogen binds, initiating an immune response that kills the infected cell. This prevents the pathogen from spreading and causing widespread crop damage. Why it matters: Understanding these molecular mechanisms could lead to engineering wheat with stronger and more durable resistance to stem rust and other diseases, safeguarding a crucial food source in the face of climate change and emerging pathogens.

Academia Europaea elects KAUST plant microbiome visionary

KAUST ·

KAUST Professor Heribert Hirt has been elected to Academia Europaea for his research on plant-microbe relationships. His work focuses on identifying beneficial microbial genes and finding local microbes to enhance plant resilience, especially in desert environments. Hirt's research has demonstrated the importance of microbes for plant health and the detrimental effects of chemical-reliant agriculture. Why it matters: This recognition highlights KAUST's contributions to understanding plant resilience in extreme environments and the importance of microbiome research for sustainable agriculture in the region.

From the seeds of discovery to improved crops

KAUST ·

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.

Future food security with algorithms and drones

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 receives Gates Foundation grant for parasitic weed research

KAUST ·

KAUST has received a $1.5 million grant from the Gates Foundation to research methods for eradicating the Striga hermonthica weed, also known as "witchweed". This parasitic plant devastates crops in sub-Saharan Africa by depleting water and nutrients, with the project led by Dr. Salim Al-Babili focusing on pearl millet. The research will involve collaboration with universities in Burkina Faso, Japan, and the Netherlands to identify biological compounds and low-cost methods for Striga control. Why it matters: Addressing Striga infestations is crucial for enhancing food security and supporting the livelihoods of millions of farmers in Africa and the Middle East who rely on crops like pearl millet.

Dates Fruit Disease Recognition using Machine Learning

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 Associate Professor Salim Al-Babili receives Bill & Melinda Gates Foundation grant

KAUST ·

KAUST Associate Professor Salim Al-Babili and his team have been awarded an approximately $5 million grant by the Bill & Melinda Gates Foundation. The grant will support the development of strategies to combat the parasitic purple witchweed (Striga hermonthica), which threatens food security in sub-Saharan Africa. Al-Babili's project will focus on protecting pearl millet production through hormone-based soil cleansing, novel chemistries, and identifying genetic factors for resistance. Why it matters: This grant enables KAUST to contribute significantly to addressing food security challenges in Africa and the Middle East by tackling a pervasive parasitic plant, demonstrating the university's commitment to translating research into real-world impact.